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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. 11-RES-JB
    11. 14342
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    Explanations

    text related to professional work environments

    oai_token-act-pair · gpt-3.5-turbo

    statements of opinion or emotive reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iga
    -0.69
    ãĤ´ãĥ³
    -0.58
     ("
    -0.58
    genre
    -0.57
    eret
    -0.56
     "-
    -0.55
    ppings
    -0.54
    ques
    -0.53
     respectively
    -0.53
    hex
    -0.52
    POSITIVE LOGITS
    [/
    1.47
     âĢ
    1.33
    âĢ
    1.27
    ,''
    1.23
     âĢ¦"
    1.19
     ..."
    1.19
    »
    1.17
    ?ãĢį
    1.11
     ðŁij
    1.11
    ãĢį
    1.10
    Activations Density 0.805%

    No Known Activations