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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 13167
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    Explanations

    references to the Environmental Protection Agency (EPA) in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Environmental Protection Agency (EPA)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dracula
    -0.79
    orne
    -0.77
    hearted
    -0.77
    born
    -0.72
     Poles
    -0.71
    ties
    -0.71
    Machine
    -0.69
    ax
    -0.69
    blade
    -0.68
    makers
    -0.68
    POSITIVE LOGITS
    EPA
    1.22
     EPA
    0.95
     Administrator
    0.91
    acid
    0.79
     administrator
    0.79
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.78
     helicop
    0.77
    uthor
    0.75
     confir
    0.74
    enium
    0.73
    Activations Density 0.008%

    No Known Activations