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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. 1356
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    INDEX
    Explanations

    phrases related to shortcomings or failures

    oai_token-act-pair · gpt-3.5-turbo

    negative indicators of performance or outcomes

    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
    nant
    -0.61
     customary
    -0.60
     contiguous
    -0.59
     expire
    -0.59
     urgent
    -0.56
    ourage
    -0.55
     vacant
    -0.55
     expired
    -0.55
     discontinued
    -0.55
     Current
    -0.54
    POSITIVE LOGITS
     insofar
    0.82
     underest
    0.80
     when
    0.80
     guessing
    0.80
     financially
    0.79
     trying
    0.78
     laughing
    0.76
     because
    0.74
     anyway
    0.74
     figuring
    0.73
    Activations Density 0.494%

    No Known Activations