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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. 3346
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    Explanations

    adjectives that describe communication or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to caution and discernment

    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
    flat
    -0.61
    Stand
    -0.59
    ilege
    -0.58
    Else
    -0.58
     Cum
    -0.56
     Farn
    -0.56
    ggles
    -0.55
    rawl
    -0.54
    odes
    -0.54
     Bund
    -0.54
    POSITIVE LOGITS
     about
    0.98
     enough
    0.94
     ABOUT
    0.93
    about
    0.85
     regarding
    0.84
    iably
    0.76
     About
    0.76
    footed
    0.75
    looking
    0.74
    aneously
    0.74
    Activations Density 0.218%

    No Known Activations