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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. 2-RES-JB
    11. 9113
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    financial statistics and percentages related to economic data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pecially
    -0.72
    zek
    -0.71
     compr
    -0.70
    stru
    -0.65
    gotten
    -0.64
    ija
    -0.64
    ruciating
    -0.63
    flies
    -0.63
    stros
    -0.62
    bsite
    -0.62
    POSITIVE LOGITS
     increments
    0.76
    wei
    0.69
    payer
    0.69
    rees
    0.67
    -+
    0.66
    azo
    0.66
    %-
    0.65
    fuck
    0.65
    factor
    0.65
    utsch
    0.65
    Activations Density 0.062%

    No Known Activations