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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. 10524
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    Explanations

    phrases or sentences indicating opinions or declarations, often starting with "said it was."

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating assertion or confirmation

    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
     confines
    -0.74
    enment
    -0.71
    alus
    -0.67
    ossom
    -0.67
    aign
    -0.65
    acly
    -0.65
     stroll
    -0.61
    atives
    -0.61
    vertisement
    -0.60
    fts
    -0.60
    POSITIVE LOGITS
     owed
    0.75
    ©¶æ
    0.71
     not
    0.70
    absolutely
    0.70
    uten
    0.67
    Ĥİ
    0.67
     "#
    0.66
    NOT
    0.66
     intentionally
    0.65
    not
    0.65
    Activations Density 0.370%

    No Known Activations