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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. 3-RES-JB
    11. 9621
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    INDEX
    Explanations

    phrases indicating a large or significant quantity or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    references to quantitative assessments or evaluations of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hall
    -0.71
     cutter
    -0.66
     plun
    -0.65
     itch
    -0.63
    penter
    -0.63
     Fram
    -0.60
     seat
    -0.60
     drawer
    -0.60
     picking
    -0.60
     flap
    -0.60
    POSITIVE LOGITS
     amounts
    0.95
    entially
    0.87
    xual
    0.87
    awei
    0.86
    lyak
    0.81
    nces
    0.80
    ombat
    0.80
    endment
    0.78
     amounted
    0.78
    ngth
    0.77
    Activations Density 0.013%

    No Known Activations