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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. 0-RES-JB
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    Explanations

    phrases expressing worry or interest in a particular subject or individual

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "concerned" related to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.71
    RPG
    -0.69
    etime
    -0.65
     gig
    -0.64
     Toggle
    -0.60
    ze
    -0.59
    yt
    -0.59
    double
    -0.58
    scape
    -0.58
    reverse
    -0.58
    POSITIVE LOGITS
     concerned
    3.72
     worried
    2.18
    cerned
    1.75
     alarmed
    1.71
     interested
    1.68
     Concern
    1.56
     concern
    1.52
     involved
    1.46
     outraged
    1.38
     concerns
    1.35
    Activations Density 0.014%

    No Known Activations