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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. 10-RES-JB
    11. 23491
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    Explanations

    quantified estimates or values

    oai_token-act-pair · gpt-3.5-turbo

    words related to statistical estimates and numerical evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FACE
    -0.83
    ĪĴ
    -0.79
    marine
    -0.77
    feeding
    -0.76
    matter
    -0.74
    woods
    -0.73
    uits
    -0.72
    gob
    -0.67
    nered
    -0.67
    GU
    -0.67
    POSITIVE LOGITS
     estimates
    0.98
     estimating
    0.87
    imate
    0.86
     estimate
    0.85
    imates
    0.79
     estimated
    0.78
     amount
    0.76
     amounts
    0.76
     sums
    0.74
     projections
    0.73
    Activations Density 0.037%

    No Known Activations