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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. 9-RES-JB
    11. 3727
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    INDEX
    Explanations

    units of measurement and their respective values

    oai_token-act-pair · gpt-3.5-turbo

    metrics and measurements related to quantities and units

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     personalities
    -0.68
     acron
    -0.67
     enthus
    -0.67
     mobs
    -0.66
    actionDate
    -0.65
     magnets
    -0.65
    itialized
    -0.63
     minds
    -0.63
    know
    -0.63
    aeper
    -0.62
    POSITIVE LOGITS
    /$
    0.83
    Footnote
    0.82
     basis
    0.81
     squared
    0.77
     average
    0.77
    imeter
    0.75
     ($
    0.74
    abyte
    0.74
    enza
    0.70
     (%
    0.69
    Activations Density 0.113%

    No Known Activations