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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. 9-RES-JB
    11. 6073
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itu
    -0.70
    imal
    -0.68
    mop
    -0.67
     Cancel
    -0.66
    Correction
    -0.64
    fail
    -0.63
    Timeout
    -0.62
    ocre
    -0.62
    ocene
    -0.61
    VAL
    -0.61
    POSITIVE LOGITS
     also
    1.20
     ALSO
    1.14
     additionally
    1.10
    also
    0.89
     optionally
    0.81
     include
    0.79
    includes
    0.78
     includ
    0.76
     introduce
    0.75
     showcased
    0.75
    Activations Density 0.426%

    No Known Activations