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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. 4-RES-JB
    11. 2046
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    Explanations

    comparisons related to size

    oai_token-act-pair · gpt-3.5-turbo

    comparative expressions indicating height or size discrepancies

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

    No Comments

    Negative Logits
    Eye
    -0.72
    imity
    -0.68
    cu
    -0.67
    ALE
    -0.67
    pillar
    -0.67
    urther
    -0.65
    isle
    -0.63
    essen
    -0.62
    esian
    -0.61
    wine
    -0.60
    POSITIVE LOGITS
     usual
    0.80
    average
    0.74
     average
    0.71
     anticipated
    0.70
     anything
    0.69
    mbuds
    0.68
     stellar
    0.64
     comparable
    0.64
     any
    0.63
     placebo
    0.63
    Activations Density 0.071%

    No Known Activations