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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. 10-RES-JB
    11. 15972
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    Explanations

    words related to colors and labels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification and grading of items, particularly in financial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Behind
    -0.56
     Fres
    -0.56
    juries
    -0.55
    etsy
    -0.53
    eches
    -0.53
     sting
    -0.53
    ushes
    -0.53
    leted
    -0.52
    advert
    -0.52
     Torn
    -0.51
    POSITIVE LOGITS
    +.
    1.03
     depending
    1.00
     unless
    0.97
     when
    0.89
     again
    0.86
    *.
    0.85
     due
    0.82
     whenever
    0.82
    -.
    0.82
     regardless
    0.82
    Activations Density 0.398%

    No Known Activations