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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. 13841
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    Explanations

    individuals associated with various professions and activist roles

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to professions or roles in society

    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

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    Negative Logits
    icum
    -0.78
    gency
    -0.61
    ãĥĥãĥī
    -0.58
     lane
    -0.58
    orrow
    -0.58
    pload
    -0.57
    illions
    -0.57
    itton
    -0.56
    rians
    -0.55
    Scale
    -0.55
    POSITIVE LOGITS
     extraord
    1.12
     alike
    1.11
     respectively
    1.04
     advocate
    0.68
     Ann
    0.66
     educator
    0.66
    utive
    0.65
    olphin
    0.63
     Olympia
    0.62
     Proud
    0.59
    Activations Density 0.154%

    No Known Activations