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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. 15356
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    Explanations

    words pertaining to specified conditions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conditions and provisions

    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
     Breath
    -0.74
     Tycoon
    -0.72
    ãĥīãĥ©ãĤ´ãĥ³
    -0.71
     CrossRef
    -0.69
     Roses
    -0.68
    NetMessage
    -0.65
     Pend
    -0.63
     Royale
    -0.63
     Randall
    -0.61
     breath
    -0.61
    POSITIVE LOGITS
    endiary
    1.15
     stip
    1.14
    ulates
    1.01
    ulated
    0.97
    ulum
    0.97
    ilit
    0.92
    ulation
    0.92
    ules
    0.92
    ulative
    0.91
    ends
    0.90
    Activations Density 0.020%

    No Known Activations