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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. 7-RES-JB
    11. 143
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    Explanations

    proper nouns or names containing characters in uppercase letters

    oai_token-act-pair · gpt-3.5-turbo

    character names and key identifiers related to individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.71
    factor
    -0.65
     Peaks
    -0.65
    Goal
    -0.64
    ItemTracker
    -0.64
     Farming
    -0.61
     favour
    -0.58
     incent
    -0.57
    Factor
    -0.55
     CONS
    -0.55
    POSITIVE LOGITS
    .,
    0.97
    .?
    0.89
    ./
    0.83
    .,"
    0.83
    .:
    0.82
    .;
    0.80
    .-
    0.79
    .--
    0.75
    .—
    0.74
    .–
    0.74
    Activations Density 0.225%

    No Known Activations