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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. 1-RES-JB
    11. 11628
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    INDEX
    Explanations

    mentions of coal mining or fuel efficiency

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant punctuations or special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yuan
    -0.68
     Garg
    -0.67
     Runtime
    -0.66
     sandbox
    -0.64
     Arabs
    -0.63
     homebrew
    -0.63
     Aram
    -0.63
     Happ
    -0.61
     Worse
    -0.60
     Appears
    -0.60
    POSITIVE LOGITS
    join
    0.74
    ridge
    0.72
    eport
    0.70
    attach
    0.70
    coni
    0.69
    atic
    0.68
    raction
    0.68
    scoring
    0.68
    rite
    0.67
    pillar
    0.67
    Activations Density 0.000%

    No Known Activations