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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. 11-RES-JB
    11. 789
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    Explanations

    financial figures and amounts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the preposition "in" and various contexts that mention money or financial contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esty
    -0.76
    few
    -0.76
    condition
    -0.74
    gypt
    -0.73
     Whilst
    -0.73
    hell
    -0.73
    erning
    -0.72
    ittees
    -0.72
    raid
    -0.71
    try
    -0.71
    POSITIVE LOGITS
     fines
    1.10
     damages
    1.07
     penalties
    1.06
     taxpayer
    1.01
     subsidies
    1.00
     bribes
    0.98
    effic
    0.98
     unpaid
    0.97
     revenue
    0.97
     refunds
    0.97
    Activations Density 0.079%

    No Known Activations