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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. 7216
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    INDEX
    Explanations

    company names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of companies and their names

    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
    SPONSORED
    -0.94
    aucuses
    -0.89
    ndum
    -0.86
    cknowled
    -0.80
    cffffcc
    -0.78
    osexual
    -0.76
     grandchildren
    -0.74
    rites
    -0.72
    velt
    -0.70
    Synopsis
    -0.68
    POSITIVE LOGITS
     boutique
    0.97
     Velocity
    0.96
     Alloy
    0.95
     Radius
    0.95
     Nex
    0.95
     Cerberus
    0.94
     Elev
    0.93
     Jet
    0.92
     Insight
    0.92
     consultancy
    0.91
    Activations Density 0.418%

    No Known Activations