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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. 5182
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    words related to caching, particularly emphasizing actions and technologies

    oai_token-act-pair · gpt-3.5-turbo
    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
    PDATE
    -0.84
    ativity
    -0.82
    yss
    -0.77
     withd
    -0.67
    erest
    -0.64
    SHIP
    -0.64
     cumbers
    -0.63
    icky
    -0.63
     conson
    -0.61
    ntax
    -0.61
    POSITIVE LOGITS
    ingly
    0.80
    shire
    0.73
    alach
    0.71
    alam
    0.69
    trap
    0.69
    olate
    0.67
    idon
    0.65
    APTER
    0.65
    sand
    0.65
    baugh
    0.65
    Activations Density 0.045%

    No Known Activations