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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. 5644
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    Explanations

    words related to negative circumstances or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of negative situations or events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.90
    racuse
    -0.79
    ittees
    -0.78
     Pavilion
    -0.73
    theless
    -0.73
    ymph
    -0.71
    inguished
    -0.69
    uine
    -0.68
    olate
    -0.67
    illon
    -0.67
    POSITIVE LOGITS
    dies
    1.25
    gered
    1.19
    die
    1.13
    ger
    1.12
    dest
    1.05
    asses
    1.00
    der
    0.99
     luck
    0.98
    gers
    0.95
    ged
    0.95
    Activations Density 0.054%

    No Known Activations