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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. 2-RES-JB
    11. 7892
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    Explanations

    technical specifications related to camera resolutions

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications related to mobile devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebted
    -0.79
    taboola
    -0.70
     Hurricanes
    -0.68
    Else
    -0.64
    brush
    -0.64
     stra
    -0.64
    hook
    -0.62
    xual
    -0.61
     otherwise
    -0.61
    flies
    -0.61
    POSITIVE LOGITS
    MP
    1.12
    EG
    1.03
    ropolitan
    0.97
    alm
    0.96
    UV
    0.95
    rint
    0.94
    JP
    0.92
    AA
    0.92
    olicy
    0.91
    atcher
    0.89
    Activations Density 0.006%

    No Known Activations