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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. 3867
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    Explanations

    phrases related to personal qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize character attributes or qualities associated with individuals

    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
    aways
    -0.70
    Interested
    -0.63
    channelAvailability
    -0.59
    going
    -0.58
    dos
    -0.58
    âĻ¦
    -0.57
    overs
    -0.56
    repe
    -0.56
    keeper
    -0.54
    fters
    -0.54
    POSITIVE LOGITS
    ramer
    0.76
     burden
    0.75
     Steel
    0.71
     Letters
    0.69
    ufact
    0.68
    war
    0.68
    ortunately
    0.67
     legend
    0.66
    fortune
    0.66
     principle
    0.65
    Activations Density 0.058%

    No Known Activations