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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. 10270
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    INDEX
    Explanations

    specific phrases indicating communication or interaction

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional or dramatic expressions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    bleacher
    -0.65
    aughtered
    -0.64
    htaking
    -0.61
    osate
    -0.61
    Äį
    -0.59
    oola
    -0.58
     guiActiveUn
    -0.57
    arnaev
    -0.57
    iov
    -0.56
    uterte
    -0.56
    POSITIVE LOGITS
     theirs
    0.72
     them
    0.67
     hers
    0.61
     latter
    0.60
     afterward
    0.55
    +.
    0.55
    Interstitial
    0.53
    ģ«
    0.53
    Otherwise
    0.52
     anyway
    0.51
    Activations Density 1.510%

    No Known Activations