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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. 3184
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    INDEX
    Explanations

    words related to urban settings or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to streets or street-related contexts

    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
    emort
    -0.90
    merce
    -0.88
    essee
    -0.81
    igham
    -0.80
    opsis
    -0.77
    ividual
    -0.73
    abase
    -0.72
    uania
    -0.72
    xit
    -0.72
    racuse
    -0.71
    POSITIVE LOGITS
    cars
    1.08
    lights
    0.99
    fighter
    0.89
    wear
    0.88
    ways
    0.86
    fare
    0.83
    light
    0.82
    car
    0.80
     corners
    0.80
    walk
    0.79
    Activations Density 0.040%

    No Known Activations