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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. 6586
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    INDEX
    Explanations

    comparisons of likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical likelihoods or comparisons among groups

    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
    comings
    -0.84
    psons
    -0.80
    ufact
    -0.78
    pload
    -0.76
    raphics
    -0.75
    ilts
    -0.73
    oresc
    -0.70
     sqor
    -0.69
    adding
    -0.67
    htaking
    -0.67
    POSITIVE LOGITS
     likely
    1.68
     susceptible
    1.45
     prone
    1.40
    likely
    1.30
     inclined
    1.27
     Likely
    1.23
     vulnerable
    1.21
     reluctant
    1.11
     apt
    1.11
     willing
    1.09
    Activations Density 0.100%

    No Known Activations