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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. 3429
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    INDEX
    Explanations

    expressions of interest or curiosity in various topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing interest

    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
    minus
    -0.80
    pill
    -0.68
    iop
    -0.68
     teasp
    -0.66
     equival
    -0.61
     aided
    -0.61
     accounted
    -0.60
    */(
    -0.60
     corrid
    -0.60
     ILCS
    -0.59
    POSITIVE LOGITS
     regards
    0.89
    76561
    0.78
     Seeking
    0.72
    WARD
    0.71
     regard
    0.68
    enance
    0.63
     aspir
    0.63
     respecting
    0.63
     pursuing
    0.62
     whether
    0.60
    Activations Density 0.327%

    No Known Activations