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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. 6-RES-JB
    11. 8449
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to names or terms associated with locations and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enhagen
    -0.62
    ĸļ
    -0.61
    duino
    -0.60
    atform
    -0.59
     polarization
    -0.57
     polarized
    -0.57
    inki
    -0.57
     trout
    -0.57
     Karachi
    -0.57
    erenn
    -0.55
    POSITIVE LOGITS
    oshenko
    0.73
    bilt
    0.71
     Mania
    0.69
    iple
    0.68
    roid
    0.66
    INAL
    0.62
    encrypted
    0.61
    ideo
    0.61
    claimer
    0.61
    oga
    0.61
    Activations Density 0.273%

    No Known Activations