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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. 2314
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    Explanations

    economic and political terms related to policies and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    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
    SourceFile
    -0.75
    olves
    -0.73
    izon
    -0.73
    icc
    -0.69
    clave
    -0.67
    hess
    -0.65
    PORT
    -0.65
    Zone
    -0.65
    Earn
    -0.64
    iken
    -0.63
    POSITIVE LOGITS
     moreover
    1.25
     secondly
    1.20
     furthermore
    1.16
     consequently
    1.14
     importantly
    1.12
     alas
    1.10
     optionally
    1.04
     cru
    1.03
     therefore
    1.02
     unsurprisingly
    0.97
    Activations Density 0.072%

    No Known Activations