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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. 1-RES-JB
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and sports teams, particularly focused on "Beg" and the "Canucks."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fed
    -0.73
    liness
    -0.70
    Charges
    -0.64
     Vaughan
    -0.64
     revolving
    -0.62
    Charge
    -0.61
    *****
    -0.61
     Dante
    -0.61
    dy
    -0.61
     Strauss
    -0.60
    POSITIVE LOGITS
    erion
    0.86
    lass
    0.85
    erker
    0.84
    arte
    0.80
    eday
    0.78
    ewitness
    0.76
    igree
    0.76
    atum
    0.76
    lasses
    0.74
    ingham
    0.74
    Activations Density 0.026%

    No Known Activations