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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
    11. 19429
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to knowledge, assessment, and strategy

    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
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.76
    SEA
    -0.73
    Bench
    -0.70
    STEM
    -0.69
    HQ
    -0.67
    quickShipAvailable
    -0.67
    ãĥ¯ãĥ³
    -0.67
    TEXTURE
    -0.67
    Stand
    -0.66
    FLAG
    -0.64
    POSITIVE LOGITS
     extraord
    0.88
    hers
    0.74
    jah
    0.72
    ps
    0.67
    zed
    0.66
     contam
    0.66
    isters
    0.65
    cing
    0.64
     ($
    0.63
    rimp
    0.62
    Activations Density 0.596%

    No Known Activations