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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. 4-RES-JB
    11. 2737
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    Explanations

    statements related to claims or allegations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of claims or accusations

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

    No Comments

    Negative Logits
    thumbnails
    -0.77
    stable
    -0.71
     ILCS
    -0.67
     arrang
    -0.65
    odes
    -0.65
    omez
    -0.64
    cephal
    -0.64
    bsp
    -0.63
    bered
    -0.62
     handshake
    -0.61
    POSITIVE LOGITS
     claims
    0.89
    ylum
    0.85
    icist
    0.76
    urances
    0.75
     claimant
    0.73
     claimants
    0.73
    Claim
    0.73
    fulness
    0.72
    ulent
    0.70
     Claims
    0.70
    Activations Density 0.027%

    No Known Activations