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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. 21426
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    Explanations

    positive news or events

    oai_token-act-pair · gpt-3.5-turbo

    references to positive news or good outcomes

    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
    ascript
    -0.81
    ismo
    -0.75
    ĸļ
    -0.67
    edIn
    -0.67
    TPPStreamerBot
    -0.65
    location
    -0.62
    ctr
    -0.61
    zo
    -0.61
    TIT
    -0.60
    arate
    -0.60
    POSITIVE LOGITS
     ol
    0.85
    est
    0.85
    iest
    0.81
     outweigh
    0.76
     portion
    0.72
     side
    0.71
     thing
    0.70
     ones
    0.69
    oon
    0.68
     angels
    0.68
    Activations Density 0.062%

    No Known Activations