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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. 7-RES-JB
    11. 11338
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    Explanations

    statements related to opinions and discussions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of controversial opinions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Corona
    -0.66
     robbers
    -0.62
    Custom
    -0.60
     fortun
    -0.59
     Slayer
    -0.58
     Guinness
    -0.55
     commandments
    -0.54
    animate
    -0.54
    cium
    -0.53
     Firefly
    -0.53
    POSITIVE LOGITS
     rhet
    0.91
    phasis
    0.71
     rhetorical
    0.69
    urther
    0.69
     UNCLASSIFIED
    0.69
    anwhile
    0.68
     emph
    0.66
     echoes
    0.65
     quoting
    0.63
     excerpt
    0.62
    Activations Density 1.519%

    No Known Activations