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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8674
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    Explanations

    mentions of specific names, possibly related to politics or law

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific characters and individuals associated with a certain narrative or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    printed
    -0.77
    acl
    -0.76
    geries
    -0.70
    formed
    -0.69
    information
    -0.68
    ocrine
    -0.67
    ribute
    -0.66
    cycles
    -0.65
    hedral
    -0.63
    ASE
    -0.62
    POSITIVE LOGITS
     Goodman
    1.23
     Saul
    0.93
     Berman
    0.86
    Ö
    0.79
     Katz
    0.77
    iflower
    0.77
    éĹĺ
    0.76
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.74
     Misc
    0.74
    TING
    0.74
    Activations Density 0.013%

    No Known Activations