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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. 8-RES-JB
    11. 1346
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    Explanations

    phrases indicating unfortunate situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of misfortune or regret

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igate
    -0.73
    utenberg
    -0.71
    zag
    -0.71
    rouse
    -0.70
    afort
    -0.69
     kindred
    -0.67
    aver
    -0.66
    ivating
    -0.66
    glas
    -0.66
    ivation
    -0.65
    POSITIVE LOGITS
     alas
    0.78
     sadly
    0.75
     unfortunately
    0.72
     forgot
    0.69
     disappoint
    0.69
    nown
    0.67
    terday
    0.67
     untrue
    0.66
     misunderstand
    0.66
     unfortunate
    0.65
    Activations Density 0.031%

    No Known Activations