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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. 4-RES-JB
    11. 19568
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    INDEX
    Explanations

    words related to earning or securing positions or opportunities

    oai_token-act-pair · gpt-3.5-turbo

    references to positions or spots within teams or rankings

    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
     rall
    -0.83
    RR
    -0.74
     Trails
    -0.72
    issance
    -0.70
     godd
    -0.69
    ãĥ¼ãĥĨãĤ£
    -0.66
     cous
    -0.63
    yss
    -0.63
     Range
    -0.61
     encount
    -0.61
    POSITIVE LOGITS
     vacated
    1.10
    lights
    0.96
    eele
    0.92
    holder
    0.83
    holders
    0.81
     holder
    0.80
    codes
    0.78
    mate
    0.78
    lighting
    0.76
    lain
    0.75
    Activations Density 0.015%

    No Known Activations