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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. 18799
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    Explanations

    phrases related to terms indicating normality or standard comparisons

    oai_token-act-pair · gpt-3.5-turbo

    terms that denote standard or typical characteristics

    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
    Lenin
    -0.75
    Angelo
    -0.73
    ochet
    -0.73
    faith
    -0.71
    Rust
    -0.71
    achine
    -0.69
     Falk
    -0.69
    Faith
    -0.69
    nikov
    -0.68
    isson
    -0.66
    POSITIVE LOGITS
     terrestrial
    0.74
     GDDR
    0.67
     counterparts
    0.65
     paper
    0.65
     equivalents
    0.65
     mammals
    0.64
    trl
    0.63
     normal
    0.62
     humans
    0.61
     reversible
    0.61
    Activations Density 0.093%

    No Known Activations