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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. 8-RES-JB
    11. 24355
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    INDEX
    Explanations

    financial figures and numerical comparisons

    oai_token-act-pair · gpt-3.5-turbo

    financial metrics and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.73
    xious
    -0.66
    vertisements
    -0.66
    farious
    -0.65
     buttons
    -0.63
     DRM
    -0.62
     button
    -0.61
    ettings
    -0.59
     spont
    -0.59
     flap
    -0.59
    POSITIVE LOGITS
     equivalent
    1.05
    average
    0.92
     averages
    0.92
     dwar
    0.89
     compares
    0.88
    maximum
    0.87
    equ
    0.86
     equ
    0.85
    minimum
    0.84
     equate
    0.83
    Activations Density 0.294%

    No Known Activations