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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. 23514
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    Explanations

    references to critical reception and impact in media and society

    oai_token-act-pair · gpt-3.5-turbo

    elements of critical acclaim and public reception in media contexts

    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
    idas
    -0.73
    iencies
    -0.71
     triangle
    -0.69
     Parallel
    -0.68
    ivot
    -0.62
    VERT
    -0.61
    addons
    -0.61
    heet
    -0.61
    ©¶æ
    -0.61
     Operator
    -0.60
    POSITIVE LOGITS
     acclaim
    1.10
     detractors
    1.08
     ridicule
    1.01
     notoriety
    1.00
     accol
    0.99
     celebrities
    0.99
     garner
    0.94
    cele
    0.94
     critics
    0.94
     endorsements
    0.93
    Activations Density 0.604%

    No Known Activations