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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. 22462
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and terms related to people and entities

    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
    uto
    -0.81
     sculpt
    -0.66
     eld
    -0.65
     Kot
    -0.64
    ooming
    -0.64
     ot
    -0.64
    essor
    -0.63
     Anth
    -0.62
    pal
    -0.61
     Survey
    -0.61
    POSITIVE LOGITS
    rone
    2.93
     Brother
    1.84
     Bauer
    1.71
    rones
    1.27
    osi
    1.13
     Bravo
    1.04
     HIP
    0.95
     billboard
    0.92
    hate
    0.88
    rella
    0.83
    Activations Density 0.070%

    No Known Activations