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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. 3-RES-JB
    11. 6535
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    INDEX
    Explanations

    phrases related to being worried or troubled about something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artifacts
    -0.92
    PASS
    -0.76
    alter
    -0.73
    apes
    -0.72
    obs
    -0.71
    guided
    -0.71
    Completed
    -0.71
    bowl
    -0.69
    robe
    -0.67
    enh
    -0.66
    POSITIVE LOGITS
     citiz
    0.77
    reon
    0.76
    enza
    0.76
     Wynne
    0.76
     Emin
    0.74
    ashtra
    0.73
    atives
    0.72
     trolling
    0.71
     Carmen
    0.71
    cerned
    0.70
    Activations Density 0.025%

    No Known Activations