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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. 14453
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    Explanations

    people or objects positioned in front of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being "in front of" something or someone

    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
    cci
    -0.83
    IRO
    -0.79
    Rating
    -0.78
    zie
    -0.75
    cano
    -0.73
     Preferred
    -0.71
    vil
    -0.70
    assets
    -0.70
    gger
    -0.69
    rosso
    -0.69
    POSITIVE LOGITS
     row
    0.77
     facing
    0.69
    mast
    0.67
    eering
    0.67
    shore
    0.66
    ais
    0.66
    aday
    0.64
     him
    0.63
    eur
    0.63
    ed
    0.63
    Activations Density 0.011%

    No Known Activations