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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. 24557
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and categorization processes

    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
    elin
    -0.79
    vous
    -0.75
     stead
    -0.70
    perty
    -0.69
     wake
    -0.67
    cele
    -0.63
     homeland
    -0.62
     ful
    -0.62
    rentice
    -0.61
    noon
    -0.61
    POSITIVE LOGITS
    ifications
    0.96
     classify
    0.96
    anguage
    0.94
     markings
    0.87
    ribing
    0.84
    REDACTED
    0.84
    ategor
    0.82
     distinctions
    0.80
    inates
    0.80
    enance
    0.79
    Activations Density 0.033%

    No Known Activations