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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. 2354
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to accusations and auxiliary equipment or systems

    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
    oho
    -0.75
    FG
    -0.74
    tein
    -0.70
    flies
    -0.70
    Ô
    -0.70
     Shoot
    -0.69
    indal
    -0.68
    atoes
    -0.68
     Yiannopoulos
    -0.68
    schild
    -0.67
    POSITIVE LOGITS
    iliary
    0.89
    oral
    0.82
     attendant
    0.81
    urus
    0.75
    atal
    0.72
     attendants
    0.69
    ivals
    0.69
    wcs
    0.69
    ieties
    0.68
    uers
    0.68
    Activations Density 0.032%

    No Known Activations