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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. 2190
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    INDEX
    Explanations

    comparisons with an emphasis on negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    negative comparisons or evaluations

    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
     Extras
    -0.66
     guiActiveUn
    -0.65
     Barron
    -0.64
     Dynamics
    -0.64
     GEAR
    -0.64
     Meadow
    -0.63
     Reloaded
    -0.63
    ariat
    -0.63
    uese
    -0.62
     TAMADRA
    -0.62
    POSITIVE LOGITS
    usual
    1.25
    expected
    1.09
    necessary
    1.03
    perfect
    1.01
    anticipated
    1.01
    average
    0.98
    above
    0.98
    normal
    0.96
    mentioned
    0.95
    adequ
    0.95
    Activations Density 0.041%

    No Known Activations