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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. 8769
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    Explanations

    food and drink-related descriptions

    oai_token-act-pair · gpt-3.5-turbo

    elements related to societal norms and community experiences

    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
    DAQ
    -0.72
    onen
    -0.67
    imilar
    -0.64
    WF
    -0.62
    KER
    -0.61
     CFR
    -0.58
    Enabled
    -0.55
     Ranking
    -0.54
    olitan
    -0.54
    itute
    -0.54
    POSITIVE LOGITS
     downright
    0.91
     assorted
    0.89
    etc
    0.81
    cellaneous
    0.80
    whatever
    0.79
    anything
    0.74
     importantly
    0.71
     occasional
    0.70
     finally
    0.70
    tainment
    0.66
    Activations Density 0.714%

    No Known Activations