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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. 7-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vous
    -0.79
    perty
    -0.73
     ende
    -0.71
    rentice
    -0.69
    aukee
    -0.69
     reper
    -0.66
     ful
    -0.66
    elin
    -0.66
     homeland
    -0.64
    ful
    -0.64
    POSITIVE LOGITS
    anguage
    0.94
    ifications
    0.90
    ifier
    0.87
    ifiers
    0.86
     CPC
    0.84
    idable
    0.82
    ostic
    0.82
    itatively
    0.81
    encies
    0.80
    ically
    0.80
    Activations Density 0.047%

    No Known Activations