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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. 8-RES-JB
    11. 22609
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    Explanations

    words related to immersion and involvement in an activity or experience

    oai_token-act-pair · gpt-3.5-turbo

    words related to immersion and identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Ĥİ
    -0.75
    udeb
    -0.64
    ÃĥÃĤ
    -0.62
    ©¶æ
    -0.60
     favour
    -0.60
    antam
    -0.59
    ichick
    -0.58
    numbered
    -0.57
    SourceFile
    -0.57
     outcome
    -0.57
    POSITIVE LOGITS
    ment
    1.25
    ments
    0.93
    mental
    0.86
    MENT
    0.81
    MENTS
    0.79
    iously
    0.77
    igation
    0.74
    enment
    0.73
    lishes
    0.73
    enza
    0.72
    Activations Density 0.193%

    No Known Activations