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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    mentions of booths or booth-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of booths in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     acron
    -0.76
    tymology
    -0.69
    itals
    -0.69
    nesses
    -0.66
     acronym
    -0.66
    mitted
    -0.65
    agara
    -0.65
    missions
    -0.64
    ripp
    -0.63
    ochond
    -0.63
    POSITIVE LOGITS
     booth
    1.30
     booths
    1.14
    wagon
    0.97
    cloth
    0.94
    ilion
    0.80
    holder
    0.78
    holders
    0.77
     stalls
    0.76
    atur
    0.74
     Racer
    0.72
    Activations Density 0.007%

    No Known Activations