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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. 15669
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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
    Not in Any Lists

    No Comments

    Negative Logits
     ."
    -0.65
     Trace
    -0.63
     ,"
    -0.63
     guiName
    -0.61
    Dialogue
    -0.61
     Yard
    -0.60
     Drive
    -0.58
    Newsletter
    -0.57
     Cure
    -0.57
    ifference
    -0.57
    POSITIVE LOGITS
    ?)
    1.31
    )
    1.23
    -)
    1.23
    ?),
    1.20
    )=
    1.13
    )/
    1.13
    ?).
    1.12
    !),
    1.09
    arently
    1.09
    ),
    1.09
    Activations Density 0.156%

    No Known Activations