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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. 4-RES-JB
    11. 9374
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    Explanations

    expressions related to negative emotions, especially frustration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amins
    -0.77
    icle
    -0.72
    icles
    -0.71
    estone
    -0.69
    mans
    -0.68
     actu
    -0.66
     pist
    -0.65
    individual
    -0.64
    nesium
    -0.63
    rams
    -0.62
    POSITIVE LOGITS
    fulness
    0.95
     stemming
    0.85
    lessness
    0.82
     arising
    0.76
     arose
    0.76
    iness
    0.75
    externalActionCode
    0.75
    FUL
    0.74
     awaiting
    0.74
    worthiness
    0.73
    Activations Density 0.079%

    No Known Activations