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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7771
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    INDEX
    Explanations

    references to statements or observations made by someone

    oai_token-act-pair · gpt-3.5-turbo

    instances where something is being reported or stated

    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
    heed
    -0.81
    ciating
    -0.73
     waged
    -0.67
    abase
    -0.66
    quer
    -0.66
    thood
    -0.65
    adesh
    -0.65
    WAY
    -0.65
     collided
    -0.63
    ravel
    -0.62
    POSITIVE LOGITS
     notes
    0.77
     noted
    0.74
     footnote
    0.74
    unct
    0.71
     noting
    0.71
     deductions
    0.68
    edly
    0.66
    ered
    0.66
     Schiff
    0.64
     inconsistencies
    0.64
    Activations Density 0.024%

    No Known Activations