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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. 9676
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    Explanations

    positive phrases or terms like "drop dead gorgeous" or commands related to dropping something

    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
    eur
    -0.84
    gregation
    -0.82
    apo
    -0.71
     Gutenberg
    -0.71
    Seg
    -0.70
    eering
    -0.70
    iola
    -0.69
    urally
    -0.69
    paio
    -0.67
    folios
    -0.67
    POSITIVE LOGITS
    kick
    0.96
     jaws
    0.93
    down
    0.90
     hints
    0.89
     acid
    0.82
     leaflets
    0.82
    downs
    0.77
     down
    0.76
     bombs
    0.76
    lights
    0.74
    Activations Density 0.036%

    No Known Activations