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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. 3-RES-JB
    11. 3997
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentage values in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skelet
    -0.66
     sorely
    -0.63
     pity
    -0.61
    çīĪ
    -0.61
     hastily
    -0.60
     appet
    -0.59
     dile
    -0.59
    gotten
    -0.57
     sick
    -0.57
     shaped
    -0.57
    POSITIVE LOGITS
    ooters
    0.96
    %.
    0.82
    %%
    0.79
    rowth
    0.78
    atform
    0.78
    ï¸ı
    0.77
    elsius
    0.76
    ecided
    0.74
    asin
    0.74
    cliffe
    0.74
    Activations Density 0.013%

    No Known Activations