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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. 17728
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    Explanations

    phrases related to sizes, amounts, and quality evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express excessive conditions or comparisons

    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
    DragonMagazine
    -0.97
    ratulations
    -0.77
    vana
    -0.75
    arenthood
    -0.74
    hest
    -0.74
    odiac
    -0.73
    oho
    -0.72
    lease
    -0.71
    ernaut
    -0.71
    FINE
    -0.69
    POSITIVE LOGITS
     inaccurate
    1.32
     inadequ
    1.32
     unreliable
    1.30
     inadequate
    1.30
     ineffective
    1.27
     underest
    1.26
     inefficient
    1.26
     inconsistent
    1.26
     insufficient
    1.25
     underestimate
    1.22
    Activations Density 0.542%

    No Known Activations