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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. 7-RES-JB
    11. 3713
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    commonalities or categories among things mentioned in a list or sequence, particularly focusing on identifying and grouping similar items

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve naming or listing examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.85
    issance
    -0.79
    WT
    -0.71
    ĸļ
    -0.71
     childbirth
    -0.69
    fully
    -0.67
    fortune
    -0.64
    loo
    -0.63
    ysc
    -0.63
    istry
    -0.63
    POSITIVE LOGITS
     culprit
    0.96
     specific
    0.82
     winners
    0.81
     perpetrators
    0.81
     Victims
    0.76
     particular
    0.75
     names
    0.75
     Cosponsors
    0.73
     winner
    0.70
     initials
    0.68
    Activations Density 0.305%

    No Known Activations