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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. 1-RES-JB
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    Explanations

    director names preceded by some context or information about their work

    oai_token-act-pair · gpt-3.5-turbo

    mentions of film directors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulz
    -0.69
    ulia
    -0.69
    enta
    -0.66
    ple
    -0.66
    ADD
    -0.66
    ibaba
    -0.64
    ought
    -0.60
    inters
    -0.59
    pered
    -0.58
    iba
    -0.58
    POSITIVE LOGITS
    director
    1.12
    Director
    1.12
     director
    0.96
    ographer
    0.84
    obook
    0.80
    RECT
    0.80
    writer
    0.79
    netflix
    0.79
    Actor
    0.77
     filmmaker
    0.76
    Activations Density 0.025%

    No Known Activations