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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. 4-RES-JB
    11. 24119
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    Explanations

    the names of movie directors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of directors in film-related contexts

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

    No Comments

    Negative Logits
     Peb
    -0.80
    tics
    -0.75
    achine
    -0.72
     Nieto
    -0.65
    utra
    -0.63
     Holmes
    -0.62
     Canadians
    -0.61
     Kimmel
    -0.61
    orio
    -0.60
    raising
    -0.60
    POSITIVE LOGITS
    igible
    1.16
    iger
    0.82
    nit
    0.82
    der
    0.80
    bys
    0.80
     Dir
    0.78
    idon
    0.77
    icular
    0.72
    ried
    0.72
     dir
    0.70
    Activations Density 0.016%

    No Known Activations