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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. 13612
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    INDEX
    Explanations

    instances of dates or time-related expressions

    oai_token-act-pair · gpt-3.5-turbo

    instances of time references or quantifiable measurements

    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
     ÂŃ
    -0.66
    "—
    -0.51
    —"
    -0.47
     Olympic
    -0.47
    )—
    -0.46
    TPPStreamerBot
    -0.45
     Amid
    -0.43
     Volkswagen
    -0.42
    —
    -0.42
    –
    -0.41
    POSITIVE LOGITS
    cknowled
    0.55
    annis
    0.53
    APTER
    0.53
     dont
    0.51
    phasis
    0.50
     didnt
    0.48
     tho
    0.47
    cled
    0.47
    nce
    0.46
     latter
    0.46
    Activations Density 0.903%

    No Known Activations