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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. 7-RES-JB
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.79
    ¶ħ
    -0.73
     Deng
    -0.71
    )",
    -0.71
    Sov
    -0.69
    Eva
    -0.69
    uced
    -0.68
    Tes
    -0.67
     Kab
    -0.65
     Ic
    -0.65
    POSITIVE LOGITS
     consists
    0.82
     consist
    0.72
    EMBER
    0.72
     refers
    0.68
     consisted
    0.68
    ETHOD
    0.67
    ajor
    0.67
     Major
    0.65
     aka
    0.63
     evaluates
    0.62
    Activations Density 0.466%

    No Known Activations