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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
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    Explanations

    references to the state of Missouri

    oai_token-act-pair · gpt-3.5-turbo
    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
    é¾įåĸļ士
    -0.75
    ificial
    -0.74
    icles
    -0.71
    asion
    -0.71
    jamin
    -0.70
    ces
    -0.66
    istically
    -0.66
    ishment
    -0.66
    ctica
    -0.65
    isations
    -0.65
    POSITIVE LOGITS
    ouri
    1.05
     Valley
    0.89
    olson
    0.76
    ONEY
    0.75
    astern
    0.74
    ans
    0.73
    ugg
    0.73
    atoon
    0.70
     Delta
    0.70
     River
    0.70
    Activations Density 0.049%

    No Known Activations