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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
    11. 5295
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals and characters

    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
    alis
    -0.78
    gency
    -0.71
    nis
    -0.69
    vertis
    -0.68
     Mith
    -0.68
    pson
    -0.68
     Predators
    -0.67
    nesses
    -0.67
    inals
    -0.65
    iens
    -0.64
    POSITIVE LOGITS
     Welch
    0.85
    ibrary
    0.83
    mere
    0.82
    ifting
    0.79
    lift
    0.78
    verages
    0.76
    ifted
    0.72
    lees
    0.72
     Gregg
    0.71
    udder
    0.70
    Activations Density 0.029%

    No Known Activations