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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. 10-RES-JB
    11. 5389
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    Explanations

    phrases indicating a contrast or alternative approach

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating alternatives or comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    read
    -0.76
    meric
    -0.76
    upper
    -0.75
    fifth
    -0.74
    alde
    -0.74
    igent
    -0.73
    RANT
    -0.72
    third
    -0.71
    Marginal
    -0.70
    UF
    -0.70
    POSITIVE LOGITS
     relying
    1.33
     focusing
    1.29
     wasting
    1.19
     letting
    1.19
     blaming
    1.11
     concentrating
    1.10
     needing
    1.08
     risking
    1.07
     being
    1.05
     rever
    1.05
    Activations Density 0.044%

    No Known Activations