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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. 0-RES-JB
    11. 16701
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    INDEX
    Explanations

    names of sports positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soccer strikers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bib
    -0.68
    ora
    -0.66
     Virtual
    -0.65
    icons
    -0.65
    OM
    -0.64
    olia
    -0.64
    acent
    -0.63
     PBS
    -0.62
    OC
    -0.60
    orical
    -0.60
    POSITIVE LOGITS
     striker
    3.48
     strikers
    2.45
     goalkeeper
    1.96
     midfielder
    1.96
     winger
    1.84
     footballer
    1.70
     frontman
    1.53
     goalie
    1.46
     scorer
    1.41
     goaltender
    1.38
    Activations Density 0.013%

    No Known Activations