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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. 7-RES-JB
    11. 3829
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    Explanations

    proper nouns and names of places or things

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places, people, and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Russell
    -0.70
    akable
    -0.69
    VIDIA
    -0.68
    >>>>
    -0.68
    ãĤ«
    -0.67
    leck
    -0.65
     Byrne
    -0.64
    xit
    -0.64
    ãĤ¯
    -0.64
    amia
    -0.63
    POSITIVE LOGITS
     itself
    0.94
     PD
    0.70
     layout
    0.70
     adjourn
    0.69
     magistrate
    0.68
     Layout
    0.68
    wide
    0.66
     empt
    0.66
     curator
    0.66
     streets
    0.63
    Activations Density 0.705%

    No Known Activations