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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. 8-RES-JB
    11. 11016
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    Explanations

    references to machines or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to machines and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.89
    raints
    -0.89
    ivating
    -0.74
    uating
    -0.73
    uds
    -0.73
    uates
    -0.73
    omes
    -0.73
    iaries
    -0.72
    bors
    -0.71
    si
    -0.71
    POSITIVE LOGITS
    gun
    1.02
    guns
    0.95
     readable
    0.82
     learning
    0.82
    chnology
    0.76
     Learning
    0.76
     guns
    0.75
     gunned
    0.75
    wreck
    0.74
     malfunction
    0.74
    Activations Density 0.036%

    No Known Activations