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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. 9-RES-JB
    11. 9910
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    Explanations

    words related to negative emotions or situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sadness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ouver
    -0.80
     pegged
    -0.70
    authorized
    -0.69
    vernment
    -0.67
    rity
    -0.64
     sterling
    -0.64
    aeda
    -0.64
     irrig
    -0.63
     nomine
    -0.63
    lav
    -0.62
    POSITIVE LOGITS
    omas
    1.38
    istic
    1.33
    istically
    1.33
    der
    1.19
    istical
    1.01
    omic
    0.90
    onna
    0.86
    hus
    0.84
    stal
    0.83
    die
    0.82
    Activations Density 0.072%

    No Known Activations