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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. 1477
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    Explanations

    descriptions of objects and their characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the word "with" in various contexts

    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
    ights
    -0.69
    cemic
    -0.68
    fort
    -0.66
    phrine
    -0.65
    ais
    -0.64
    mart
    -0.64
    mite
    -0.63
    ati
    -0.63
    lin
    -0.62
    plement
    -0.62
    POSITIVE LOGITS
    stood
    1.52
     regard
    1.36
     regards
    1.31
    drawn
    1.14
     respect
    1.11
     impunity
    1.04
    draw
    1.04
    standing
    1.02
    pired
    0.90
    holding
    0.85
    Activations Density 0.184%

    No Known Activations