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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. 17189
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific sources or citations

    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
     whiff
    -0.70
    Interstitial
    -0.69
    uliffe
    -0.68
    ################
    -0.68
     deed
    -0.66
     Opera
    -0.65
    daq
    -0.65
    Frameworks
    -0.65
     Pebble
    -0.64
     heights
    -0.63
    POSITIVE LOGITS
    eree
    1.30
    erences
    1.24
    inement
    1.21
    actor
    1.13
    riger
    1.12
    erent
    1.11
    ractive
    1.10
    eren
    1.10
    erential
    1.09
    ined
    1.08
    Activations Density 0.010%

    No Known Activations