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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. 13325
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    esses
    -0.75
    glers
    -0.75
    amus
    -0.70
    INTON
    -0.69
    ERAL
    -0.68
    itionally
    -0.68
    oiler
    -0.67
    izont
    -0.67
    aret
    -0.66
    */(
    -0.66
    POSITIVE LOGITS
    ternity
    0.77
    tre
    0.76
    Ħ¢
    0.75
    âĦ¢
    0.74
    ãĤº
    0.73
    catentry
    0.70
    âĢ¢âĢ¢
    0.69
    Bet
    0.69
    peak
    0.69
    Fram
    0.67
    Activations Density 0.007%

    No Known Activations