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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. 6-RES-JB
    11. 727
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    INDEX
    Explanations

    people expressing desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.72
     Chosen
    -0.68
    shit
    -0.66
     Grateful
    -0.66
    arc
    -0.64
     Saiyan
    -0.64
     Sinai
    -0.63
     Vanilla
    -0.63
    ìĿ
    -0.63
    Guard
    -0.62
    POSITIVE LOGITS
     clarification
    0.83
    erity
    0.81
     defund
    0.77
     abolish
    0.76
     clarify
    0.76
     overturn
    0.76
     urgently
    0.76
    igate
    0.76
     halt
    0.75
     intensify
    0.75
    Activations Density 0.174%

    No Known Activations