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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. 0-RES-JB
    11. 1303
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    Explanations

    references to individuals or groups attending events

    oai_token-act-pair · gpt-3.5-turbo

    words related to groups of people attending events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPP
    -0.78
     cryptoc
    -0.71
    uty
    -0.70
    udic
    -0.70
     Translation
    -0.69
    avid
    -0.68
     negotiator
    -0.68
    uble
    -0.66
     paraly
    -0.66
     Vive
    -0.66
    POSITIVE LOGITS
    goers
    2.59
     outing
    2.13
     outings
    1.51
     groom
    1.40
     grooming
    1.19
    folk
    1.06
    mot
    0.91
    notations
    0.88
    zilla
    0.86
     Dunham
    0.85
    Activations Density 0.025%

    No Known Activations