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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. 11435
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    Explanations

    dates in different formats

    oai_token-act-pair · gpt-3.5-turbo

    references to news reporting and journalistic citations

    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
    akeru
    -0.76
    ongyang
    -0.76
    rette
    -0.73
    iesta
    -0.71
    retty
    -0.71
    udging
    -0.70
     maid
    -0.68
    ãĤ¶
    -0.67
    ierrez
    -0.66
     tempo
    -0.65
    POSITIVE LOGITS
    Ö¼
    0.89
    士
    0.83
    ]}
    0.79
    odiac
    0.70
    oway
    0.68
     Participant
    0.68
    >]
    0.67
    oxide
    0.67
    venth
    0.66
     Imaging
    0.65
    Activations Density 0.218%

    No Known Activations