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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. 2-RES-JB
    11. 9393
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    Explanations

    phrases related to physical actions and movements

    oai_token-act-pair · gpt-3.5-turbo

    past tense verbs

    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
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    No Comments

    Negative Logits
     STATS
    -0.73
     quar
    -0.67
     ACTIONS
    -0.63
     Proposition
    -0.62
     reprint
    -0.59
     Shant
    -0.57
    heit
    -0.56
     LSD
    -0.56
     envelope
    -0.56
     TODAY
    -0.55
    POSITIVE LOGITS
    oshenko
    0.86
    minus
    0.83
    flix
    0.82
    asury
    0.82
    obl
    0.78
    oval
    0.77
    \-
    0.76
    edo
    0.75
    anooga
    0.74
    antage
    0.72
    Activations Density 0.333%

    No Known Activations