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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. 1369
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    Explanations

    common words at the beginning of sentences that seem to be prompting something to be remembered

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "remember."

    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
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    No Comments

    Negative Logits
    chnology
    -0.76
    Released
    -0.69
    ©¶æ¥µ
    -0.67
    emale
    -0.67
    leneck
    -0.65
    aples
    -0.64
    iren
    -0.64
    unal
    -0.63
    odox
    -0.63
    adh
    -0.63
    POSITIVE LOGITS
     how
    0.82
     that
    0.75
     those
    0.74
    remember
    0.74
    ably
    0.74
     when
    0.73
     WHEN
    0.71
    :
    0.69
    ance
    0.69
    ing
    0.69
    Activations Density 0.040%

    No Known Activations