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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. 3-RES-JB
    11. 75
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    Explanations

    terms related to chewing

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of chewing and specific individuals named Woodward and Woody

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igious
    -0.75
    mur
    -0.74
    met
    -0.74
    assian
    -0.73
    bolt
    -0.72
    mos
    -0.70
    rog
    -0.70
    inal
    -0.67
    acl
    -0.66
    inate
    -0.66
    POSITIVE LOGITS
    sylv
    0.76
    çİĭ
    0.76
     chew
    0.74
    ĵĺ
    0.74
    iculty
    0.73
    é£
    0.72
     gum
    0.71
    ername
    0.71
    \\\\\\\\
    0.69
    ombat
    0.68
    Activations Density 0.017%

    No Known Activations