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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. 13282
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    INDEX
    Explanations

    phrases related to increasing trends or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to social trends and changes in behavior

    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
    =-=-
    -0.78
    =-=-=-=-
    -0.78
    ancies
    -0.74
    cific
    -0.73
    itures
    -0.69
    aceae
    -0.64
    iency
    -0.64
    teness
    -0.63
    ilial
    -0.63
    urses
    -0.62
    POSITIVE LOGITS
     becoming
    1.40
     discovering
    1.36
     turning
    1.35
     gaining
    1.35
     waking
    1.34
     getting
    1.34
     noticing
    1.31
     realizing
    1.31
     experiencing
    1.29
     finding
    1.29
    Activations Density 0.349%

    No Known Activations