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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. 0-RES-JB
    11. 18888
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    Explanations

    words related to actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    words related to drawing or visual representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģ®éŃĶ
    -0.65
     searched
    -0.63
     shortstop
    -0.63
     Alc
    -0.62
     Schmidt
    -0.61
     entirety
    -0.61
     subjected
    -0.60
     servers
    -0.58
     synonymous
    -0.58
     spy
    -0.58
    POSITIVE LOGITS
    draw
    4.69
    drawn
    2.30
    Draw
    1.70
    holding
    1.60
     Draw
    1.41
    hang
    1.17
     Drawing
    1.16
    math
    1.14
    stood
    1.13
    render
    1.11
    Activations Density 0.026%

    No Known Activations