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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. 8-RES-JB
    11. 12470
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    INDEX
    Explanations

    phrases related to conditions, assessments, or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence or absence of something significant or a condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brief
    -0.63
    speak
    -0.62
     Industries
    -0.61
    rer
    -0.61
     reminds
    -0.59
     Dreams
    -0.59
     Digest
    -0.58
    quote
    -0.58
    rers
    -0.58
    bats
    -0.58
    POSITIVE LOGITS
     overlap
    0.90
     sufficient
    0.88
     insufficient
    0.86
     gaps
    0.82
     disagreement
    0.79
    enough
    0.79
     unanim
    0.79
    unction
    0.78
     ample
    0.77
     validity
    0.77
    Activations Density 0.180%

    No Known Activations