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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. 6-RES-JB
    11. 4391
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    Explanations

    references to citations or sources

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific source or citation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heights
    -0.69
    daq
    -0.68
    ################
    -0.65
     Horses
    -0.65
     Cout
    -0.63
    CHO
    -0.63
    Magikarp
    -0.62
     whiff
    -0.61
    MENTS
    -0.61
     Poles
    -0.61
    POSITIVE LOGITS
    eree
    1.28
    actor
    1.27
    lection
    1.23
    lections
    1.22
    erential
    1.21
    erences
    1.18
    raction
    1.17
    riger
    1.16
    ractive
    1.15
    inement
    1.14
    Activations Density 0.020%

    No Known Activations