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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. 9-RES-JB
    11. 20063
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    Explanations

    actions related to drawing and artistic creation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to drawing and illustrations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ican
    -0.91
    onte
    -0.79
    icans
    -0.73
     bom
    -0.70
    odore
    -0.67
    otive
    -0.65
    anamo
    -0.63
    ambers
    -0.62
    duc
    -0.62
    atis
    -0.62
    POSITIVE LOGITS
     drawn
    0.92
    cards
    0.91
     parallels
    0.89
    card
    0.88
     Drawing
    0.81
    strings
    0.80
     drawing
    0.79
     cartoons
    0.77
     diagrams
    0.77
     Draw
    0.75
    Activations Density 0.032%

    No Known Activations