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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. 21440
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    Explanations

    expressions related to exhaustion or fatigue

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fatigue or exhaustion

    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
    iola
    -0.83
    izations
    -0.82
    tein
    -0.77
    isations
    -0.75
    vernment
    -0.73
    ection
    -0.71
    byter
    -0.67
    credit
    -0.66
    authorized
    -0.66
    rity
    -0.65
    POSITIVE LOGITS
    igue
    1.10
    rums
    0.93
    ness
    0.87
     tired
    0.84
     sore
    0.73
    wallet
    0.72
    nesses
    0.72
    locks
    0.70
     Archdemon
    0.69
     old
    0.69
    Activations Density 0.029%

    No Known Activations