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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. 20042
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     jaws
    -0.75
     margins
    -0.72
     roses
    -0.69
     captcha
    -0.68
     apes
    -0.65
     receipts
    -0.65
     warrants
    -0.65
     solvent
    -0.64
     technicians
    -0.64
     soil
    -0.63
    POSITIVE LOGITS
    _
    1.20
    _.
    1.04
    _(
    1.02
    Stud
    0.99
    Brew
    0.97
    Jr
    0.96
    __
    0.95
    NZ
    0.95
    _-_
    0.94
    /,
    0.94
    Activations Density 0.159%

    No Known Activations