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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. 10468
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    Explanations

    words related to emotional intensity or intensity in general

    oai_token-act-pair · gpt-3.5-turbo

    patterns of word stems or prefixes related to actions or occurrences

    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
    appropriate
    -0.65
    yip
    -0.62
     Malf
    -0.61
     unaccompanied
    -0.59
     incon
    -0.57
     deviation
    -0.56
     offense
    -0.54
     deviations
    -0.53
     crochet
    -0.53
    ongyang
    -0.52
    POSITIVE LOGITS
    ciating
    1.28
    ĸļ
    1.07
    wikipedia
    0.93
    enment
    0.87
    ãĤ¨ãĥ«
    0.81
    achment
    0.79
    yll
    0.70
    OY
    0.70
    Ü
    0.70
    oyer
    0.69
    Activations Density 0.045%

    No Known Activations