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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. 11-RES-JB
    11. 5756
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    Explanations

    positive evaluations or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to item popularity and value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ravings
    -0.96
    ograms
    -0.90
    laws
    -0.89
    ramids
    -0.87
    fights
    -0.85
     equations
    -0.85
    codes
    -0.84
     manuals
    -0.82
    doms
    -0.81
    rules
    -0.81
    POSITIVE LOGITS
     contender
    1.44
     fixture
    1.35
     addition
    1.28
     contributor
    1.21
     staple
    1.21
     occurrence
    1.18
     item
    1.16
     favourite
    1.14
     participant
    1.13
     option
    1.13
    Activations Density 0.382%

    No Known Activations