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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. 4-RES-JB
    11. 6167
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    Explanations

    verbs related to movement, particularly walking and its variations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the action of walking or related verbs

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

    No Comments

    Negative Logits
    cffff
    -0.88
    encies
    -0.88
    nan
    -0.77
    illian
    -0.74
    milo
    -0.74
    ional
    -0.72
    afort
    -0.72
    iled
    -0.71
    nces
    -0.71
    anyahu
    -0.70
    POSITIVE LOGITS
    own
    0.95
     Walk
    0.86
    through
    0.85
    ways
    0.78
     upright
    0.76
    Walk
    0.76
    poke
    0.75
    walk
    0.75
    lihood
    0.74
     away
    0.74
    Activations Density 0.024%

    No Known Activations