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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific individuals and topics of interest

    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
    ages
    -0.86
    icum
    -0.84
    icas
    -0.79
    agers
    -0.76
    aging
    -0.75
    ãĤ¨ãĥ«
    -0.74
    Redditor
    -0.73
    ikan
    -0.73
    umbo
    -0.72
    ipal
    -0.72
    POSITIVE LOGITS
     Fischer
    0.77
     arrang
    0.69
    avorite
    0.68
    ratulations
    0.67
    Ò
    0.66
    YL
    0.66
    VE
    0.65
     fug
    0.65
     versa
    0.64
    ctuary
    0.63
    Activations Density 0.028%

    No Known Activations