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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. 17459
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    INDEX
    Explanations

    predictions or assessments of likelihood or probability of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate probabilities or likelihoods of events

    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
    ĸļ
    -0.86
    Interstitial
    -0.79
     appropriation
    -0.75
     Occupations
    -0.67
     bathing
    -0.67
     Voc
    -0.67
    oga
    -0.67
    english
    -0.66
     Collections
    -0.64
     laun
    -0.63
    POSITIVE LOGITS
     probability
    1.60
     probabilities
    1.58
     scenario
    1.44
     possibility
    1.43
     likelihood
    1.37
     hypothetical
    1.33
     scenarios
    1.32
     prediction
    1.29
    ossibility
    1.28
     unlikely
    1.22
    Activations Density 0.850%

    No Known Activations