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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. 2717
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    Explanations

    verbs and nouns related to the consequences or outcomes of actions

    oai_token-act-pair · gpt-3.5-turbo

    references to various effects and their implications

    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
     Standards
    -0.68
     pigeon
    -0.66
     rooft
    -0.64
     Methodist
    -0.63
     Malt
    -0.63
    mbuds
    -0.63
     Kats
    -0.62
     Dud
    -0.61
     Timber
    -0.60
     Alto
    -0.59
    POSITIVE LOGITS
    iveness
    1.14
    uated
    1.11
    ual
    1.01
    uating
    1.01
    ively
    0.97
    uel
    0.96
    ually
    0.95
    effects
    0.93
    bringer
    0.91
    ful
    0.90
    Activations Density 0.025%

    No Known Activations