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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. 4297
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    Explanations

    verbs related to actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    negations or expressions indicating inability or refusal

    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
     Almighty
    -0.77
    catentry
    -0.66
    Magn
    -0.63
     Naples
    -0.62
    Pac
    -0.62
    LIN
    -0.61
    Kings
    -0.59
     Muss
    -0.58
    Analysis
    -0.57
    Mos
    -0.57
    POSITIVE LOGITS
     anymore
    0.69
    ï¸ı
    0.65
    xual
    0.63
    ÑĮ
    0.62
     enough
    0.59
    ĵĺ
    0.59
     any
    0.58
    É
    0.58
    ymes
    0.58
    ////
    0.57
    Activations Density 0.433%

    No Known Activations