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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. 9-RES-JB
    11. 6038
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    INDEX
    Explanations

    verbs, adjectives, or nouns related to physical actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    individual letters that likely represent codes or special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATS
    -0.66
    âĺ
    -0.63
     fuse
    -0.63
     whistle
    -0.62
    IZE
    -0.61
    é¾
    -0.61
    OPLE
    -0.60
    )=(
    -0.58
     TNT
    -0.57
     lash
    -0.57
    POSITIVE LOGITS
    ita
    0.83
    ols
    0.76
    ola
    0.73
    hold
    0.73
    sa
    0.72
    den
    0.72
    rahim
    0.71
    tab
    0.70
    bert
    0.70
    olla
    0.69
    Activations Density 0.122%

    No Known Activations