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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. 14342
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    Explanations

    references to walking or walks

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "walk" in various contexts

    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
    cffff
    -0.76
    encies
    -0.73
     alloy
    -0.69
     Seym
    -0.66
    orporated
    -0.65
    iling
    -0.65
    afort
    -0.65
     rul
    -0.64
    iled
    -0.63
     circumstance
    -0.62
    POSITIVE LOGITS
    through
    1.30
    about
    1.05
    ways
    1.00
    abouts
    0.95
    away
    0.94
    bow
    0.90
    way
    0.88
    walking
    0.86
    aways
    0.84
    over
    0.83
    Activations Density 0.036%

    No Known Activations