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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. 6-RES-JB
    11. 12854
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    Explanations

    phrases related to critical assessment or judgment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to assessments and evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hold
    -0.86
    blue
    -0.83
    fall
    -0.80
    felt
    -0.78
    fold
    -0.76
    dayName
    -0.74
    icz
    -0.72
    vous
    -0.70
    fruit
    -0.70
    tile
    -0.70
    POSITIVE LOGITS
     evaluations
    1.04
     evaluation
    1.00
     evaluates
    0.99
    uations
    0.92
    aution
    0.90
     appraisal
    0.85
     evaluating
    0.85
     evaluate
    0.82
    ments
    0.79
    uate
    0.79
    Activations Density 0.016%

    No Known Activations