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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. 4296
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    Explanations

    features related to image editing techniques like shadows, highlights, reflections, contrast, and transparency

    oai_token-act-pair · gpt-3.5-turbo

    elements related to realism and visual details in imagery

    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
     Salvation
    -0.73
    offer
    -0.73
     Volunteer
    -0.73
    ticket
    -0.73
    Brave
    -0.71
    financial
    -0.71
    security
    -0.70
    Fax
    -0.70
    dayName
    -0.69
     Managing
    -0.69
    POSITIVE LOGITS
     gradient
    1.18
     shading
    1.08
     texture
    1.06
     curv
    0.98
     color
    0.92
     colors
    0.91
     textures
    0.91
     spacing
    0.91
     angle
    0.90
     rounded
    0.90
    Activations Density 0.281%

    No Known Activations