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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
    11. 22510
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    Explanations

    references to cinematography or films being shown at a cinema

    oai_token-act-pair · gpt-3.5-turbo

    references to cinematography and films

    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
    ggies
    -0.70
     Davidson
    -0.66
     whichever
    -0.60
     futile
    -0.60
    adder
    -0.60
     Duck
    -0.59
     mentally
    -0.59
    00000000
    -0.58
     bed
    -0.58
     whatever
    -0.58
    POSITIVE LOGITS
     cinem
    1.31
    atography
    1.25
    agraph
    1.03
     Cinem
    1.02
    atically
    1.00
     camer
    0.91
    movie
    0.88
    Ħ¢
    0.86
    atics
    0.82
    atis
    0.81
    Activations Density 0.004%

    No Known Activations