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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. 23002
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    rir
    -0.79
    aved
    -0.75
    acity
    -0.74
    izoph
    -0.72
    avia
    -0.70
    itt
    -0.69
    onen
    -0.69
    speed
    -0.69
    flies
    -0.68
    wall
    -0.66
    POSITIVE LOGITS
    ODUCT
    0.85
    INESS
    0.80
    Ds
    0.77
    HY
    0.77
    TO
    0.73
    Zone
    0.73
    ZA
    0.73
    BG
    0.72
    +,
    0.72
    ATES
    0.72
    Activations Density 0.124%

    No Known Activations