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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. 9635
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
    ÃĥÃĤ
    -0.66
     fra
    -0.61
     inability
    -0.58
     remnants
    -0.57
     Wid
    -0.57
     supposedly
    -0.56
     infiltration
    -0.56
     fungi
    -0.56
     Hilbert
    -0.56
    berra
    -0.55
    POSITIVE LOGITS
     ASAP
    0.94
     someday
    0.88
    arna
    0.80
     ashamed
    0.75
    vised
    0.72
    iquette
    0.71
     emulate
    0.69
    eworld
    0.69
     CARE
    0.69
    aration
    0.65
    Activations Density 0.244%

    No Known Activations