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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. 11-RES-JB
    11. 5014
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    Explanations

    words related to physical actions or descriptions of physical actions carried out by individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with distinct or individual entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.79
    ittal
    -0.75
    isphere
    -0.74
    rity
    -0.73
    erity
    -0.73
    secondary
    -0.73
    eness
    -0.71
    antine
    -0.70
    usal
    -0.70
    brance
    -0.70
    POSITIVE LOGITS
    handedly
    1.04
    checked
    1.00
    heartedly
    1.00
     checked
    0.95
    handled
    0.91
     bombed
    0.88
    wrote
    0.87
     gunned
    0.87
    washed
    0.85
    ographed
    0.83
    Activations Density 0.188%

    No Known Activations