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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. 6-RES-JB
    11. 12877
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    INDEX
    Explanations

    mentions of roads or trips

    oai_token-act-pair · gpt-3.5-turbo

    references to roads and journeys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emort
    -0.79
    arians
    -0.75
    ividual
    -0.74
    ancial
    -0.74
     Wong
    -0.73
    illian
    -0.72
     Hots
    -0.71
    ermott
    -0.69
    uary
    -0.68
    ulu
    -0.68
    POSITIVE LOGITS
    trip
    1.15
    ways
    1.00
    blocks
    0.95
    fare
    0.92
    block
    0.91
    cycle
    0.88
    runner
    0.84
    maps
    0.83
    road
    0.82
    show
    0.82
    Activations Density 0.022%

    No Known Activations