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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. 12695
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to data, system operations, and software commands

    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
    âĹ¼
    -0.71
    EStreamFrame
    -0.67
    é¾įå¥ij士
    -0.66
    azy
    -0.65
    zac
    -0.65
    externalActionCode
    -0.64
    Interstitial
    -0.64
    Cola
    -0.64
    POSE
    -0.63
    Poly
    -0.62
    POSITIVE LOGITS
     consists
    1.15
     comprises
    1.08
     consisted
    1.06
     is
    0.98
     continues
    0.96
     contains
    0.96
     has
    0.96
     was
    0.93
     extends
    0.92
     provides
    0.91
    Activations Density 0.559%

    No Known Activations