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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. 9812
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    INDEX
    Explanations

    questions posed in a rhetorical or critical manner

    oai_token-act-pair · gpt-3.5-turbo

    questions that start with "who is" or similar formulations

    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
    naissance
    -0.80
    framework
    -0.72
    ooters
    -0.69
     Heights
    -0.68
     moot
    -0.60
    gression
    -0.59
    iations
    -0.59
     Comprehensive
    -0.59
    aneous
    -0.59
     WARNING
    -0.59
    POSITIVE LOGITS
     benefited
    0.68
    ij士
    0.67
    ?]
    0.67
     whom
    0.67
     wiser
    0.66
     footing
    0.65
    afort
    0.65
     sheltered
    0.64
    ?),
    0.64
     infiltrated
    0.63
    Activations Density 0.086%

    No Known Activations