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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20588
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Pwr
    -0.79
    iHUD
    -0.74
    iverpool
    -0.64
    catentry
    -0.64
    olson
    -0.63
    atro
    -0.62
    ullivan
    -0.62
    ilage
    -0.62
    conom
    -0.61
    bis
    -0.60
    POSITIVE LOGITS
    ?:
    1.63
    ?
    1.59
    ?'
    1.56
    ?),
    1.49
    ?",
    1.48
    )?
    1.45
    ?)
    1.44
    ?).
    1.44
    ?".
    1.42
    ?"
    1.42
    Activations Density 0.928%

    No Known Activations