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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. 6-RES-JB
    11. 2580
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    inating
    -0.74
    haps
    -0.73
    wagen
    -0.71
    eva
    -0.70
    izing
    -0.68
    ifference
    -0.67
    itatively
    -0.67
    iless
    -0.67
    ung
    -0.66
    ogical
    -0.66
    POSITIVE LOGITS
    fast
    1.05
    neck
    0.78
    AKING
    0.77
    down
    0.76
    Berry
    0.75
     Lives
    0.70
     Bad
    0.69
     News
    0.68
     Breaking
    0.68
    tons
    0.68
    Activations Density 0.022%

    No Known Activations