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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. 2613
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    Explanations

    phrases related to reactions, responses, and measures taken in response to specific events or concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reactions or responses to events or situations

    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
    cloth
    -0.78
    kil
    -0.73
    abilia
    -0.69
    abouts
    -0.69
    uum
    -0.68
    quer
    -0.67
    exe
    -0.67
    wired
    -0.67
    bones
    -0.67
     separates
    -0.67
    POSITIVE LOGITS
     outcry
    1.23
     objections
    1.19
     complaints
    1.16
     concerns
    1.12
     criticisms
    1.11
     fears
    1.10
     criticism
    1.10
     worsening
    1.08
     allegations
    1.08
     threats
    1.08
    Activations Density 0.334%

    No Known Activations