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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. 7-RES-JB
    11. 19395
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    Explanations

    terms related to powerful entities or entities with significant influence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive or conflict situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.76
    Ô
    -0.63
     withdrawing
    -0.62
     statutory
    -0.62
    GA
    -0.62
    Fixed
    -0.62
     payable
    -0.61
    tein
    -0.61
     withdrawn
    -0.61
    icrobial
    -0.60
    POSITIVE LOGITS
    stros
    0.87
     extraord
    0.85
    ageddon
    0.82
     fest
    0.82
    warts
    0.79
    rities
    0.78
    icion
    0.77
    rums
    0.75
    ocalypse
    0.74
    jah
    0.73
    Activations Density 0.524%

    No Known Activations