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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. 12286
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to non-verbal elements of the document

    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
    dn
    -0.68
    },{"
    -0.67
    ··
    -0.66
    breakers
    -0.65
    powers
    -0.64
    MJ
    -0.64
    Magikarp
    -0.62
    cv
    -0.62
    mods
    -0.61
     reps
    -0.60
    POSITIVE LOGITS
    usterity
    1.10
    cknowled
    1.08
    UG
    0.98
    UTH
    0.95
    verages
    0.93
    UST
    0.92
    gency
    0.89
    cknow
    0.87
    uckland
    0.87
    ircraft
    0.85
    Activations Density 0.082%

    No Known Activations