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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. 4-RES-JB
    11. 9174
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    Explanations

    words or phrases related to confrontation or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "confront" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.76
    profits
    -0.74
    serving
    -0.73
    rotein
    -0.72
    abet
    -0.71
    urt
    -0.71
    rats
    -0.71
    stream
    -0.70
    elled
    -0.70
    oiler
    -0.69
    POSITIVE LOGITS
     confront
    0.82
     confronting
    0.80
     confronts
    0.79
     confronted
    0.78
     Uriel
    0.74
     anew
    0.74
    illes
    0.74
     Metatron
    0.72
     confrontation
    0.70
     escalation
    0.70
    Activations Density 0.018%

    No Known Activations