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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. 1834
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    Explanations

    GIF files mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to GIFs

    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
    arios
    -0.81
    omaly
    -0.66
     abdom
    -0.65
    ologically
    -0.65
     Austral
    -0.64
    ophy
    -0.63
    akedown
    -0.62
    anwhile
    -0.62
    ively
    -0.62
    chedel
    -0.62
    POSITIVE LOGITS
    TED
    1.19
     GIF
    0.97
    TING
    0.93
     Thumbnails
    0.92
     gif
    0.90
    eries
    0.84
    TEXT
    0.81
    TION
    0.79
    TER
    0.79
    RAY
    0.79
    Activations Density 0.006%

    No Known Activations