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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. 9-RES-JB
    11. 16507
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    INDEX
    Explanations

    specific reasons or events stated in a narrative

    oai_token-act-pair · gpt-3.5-turbo

    references to violence or harm, particularly in the context of societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.69
     [&
    -0.69
    lean
    -0.66
    CLE
    -0.63
     Caucus
    -0.61
    Democrats
    -0.60
    ARB
    -0.60
    Senate
    -0.59
    WASHINGTON
    -0.59
    ornings
    -0.59
    POSITIVE LOGITS
     civilisation
    0.74
     CCTV
    0.72
     sightings
    0.71
     tourists
    0.70
     ageing
    0.70
     tourist
    0.70
     tourism
    0.67
     traveller
    0.67
     travellers
    0.66
     UFO
    0.66
    Activations Density 1.705%

    No Known Activations