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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. 23849
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    INDEX
    Explanations

    phrases introducing a topic or concept

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "that" in various contexts

    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
     Seym
    -0.63
    erenn
    -0.60
     Examiner
    -0.59
     Pict
    -0.57
     Berm
    -0.57
    EMBER
    -0.56
     Radius
    -0.55
     Borders
    -0.55
    bledon
    -0.54
     Gibraltar
    -0.54
    POSITIVE LOGITS
     violates
    0.87
     doesnt
    0.86
     lasted
    0.85
     consists
    0.82
     includes
    0.80
     exists
    0.79
     translates
    0.79
     utilizes
    0.78
     consisted
    0.78
     resembles
    0.76
    Activations Density 0.067%

    No Known Activations