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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. 23003
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    Explanations

    words related to intense actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social organization and interaction

    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
    idth
    -0.74
    saw
    -0.67
    aughs
    -0.63
    assetsadobe
    -0.62
    arius
    -0.61
     greets
    -0.60
    awaru
    -0.60
    !/
    -0.57
    icipated
    -0.57
     Sins
    -0.57
    POSITIVE LOGITS
     obsolete
    0.99
     moot
    0.83
     unavailable
    0.82
    solete
    0.81
     faire
    0.80
     unus
    0.79
     accessible
    0.78
     inaccessible
    0.74
     safer
    0.74
     unatt
    0.74
    Activations Density 0.454%

    No Known Activations