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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. 18859
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    Explanations

    questions or prompts for interaction

    oai_token-act-pair · gpt-3.5-turbo

    references to having questions or requests for feedback

    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
    seless
    -0.65
     unanimously
    -0.61
    urated
    -0.60
    ews
    -0.60
    staking
    -0.60
    bows
    -0.60
    FB
    -0.58
    bda
    -0.56
    ÃŁ
    -0.56
    su
    -0.56
    POSITIVE LOGITS
    THING
    1.15
    WHERE
    0.89
    body
    0.76
    where
    0.76
    MORE
    0.71
     lingering
    0.70
     reservations
    0.70
    place
    0.70
    how
    0.68
    itional
    0.67
    Activations Density 0.055%

    No Known Activations