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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. 17361
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    INDEX
    Explanations

    words related to essence or fundamental nature

    oai_token-act-pair · gpt-3.5-turbo

    references to a ranked or categorized grouping, particularly using the term "quint"

    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
     ABE
    -0.68
    boarding
    -0.66
     Bind
    -0.63
     Wer
    -0.63
    WP
    -0.63
     SPR
    -0.63
    ãĤŃ
    -0.62
    hops
    -0.60
     Toro
    -0.58
    mins
    -0.57
    POSITIVE LOGITS
    essential
    1.42
    uple
    1.31
    ered
    1.22
    illions
    1.20
    illion
    1.19
    ess
    1.18
    inary
    1.11
    inarily
    1.05
    esson
    1.04
    uries
    1.04
    Activations Density 0.109%

    No Known Activations