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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. 14079
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    Explanations

    statements emphasizing or clarifying a central idea

    oai_token-act-pair · gpt-3.5-turbo

    references to the main point or argument of a discussion

    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
    annis
    -0.84
    uthor
    -0.84
    DAQ
    -0.83
     destro
    -0.77
     Seym
    -0.75
    reditary
    -0.74
    eco
    -0.74
    apons
    -0.72
     Carbuncle
    -0.71
     notor
    -0.69
    POSITIVE LOGITS
    lessness
    0.94
    iasis
    0.86
    posts
    0.86
    point
    0.86
    lessly
    0.85
    points
    0.84
    posted
    0.81
    ifications
    0.78
     Reyes
    0.76
    manship
    0.74
    Activations Density 0.025%

    No Known Activations