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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
    11. 6373
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    Explanations

    concepts related to controversial or impactful societal issues

    oai_token-act-pair · gpt-3.5-turbo

    topics related to identity and social issues

    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
    nw
    -0.79
    xon
    -0.78
    ortium
    -0.75
    itol
    -0.74
    mble
    -0.74
    atom
    -0.73
    cci
    -0.71
    Ó
    -0.71
    nen
    -0.67
    wagon
    -0.67
    POSITIVE LOGITS
     emergencies
    0.91
     activity
    0.89
     interventions
    0.87
     bodies
    0.86
     activities
    0.86
     contexts
    0.85
     outcomes
    0.85
     engagements
    0.85
     situations
    0.84
     lovers
    0.84
    Activations Density 0.383%

    No Known Activations