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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. 20056
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    Explanations

    phrases related to publications or editorial selections

    oai_token-act-pair · gpt-3.5-turbo

    references to editor's picks or selections in content

    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
    gur
    -0.83
    lia
    -0.71
    lich
    -0.71
    rogram
    -0.68
    flying
    -0.67
     interf
    -0.66
    rams
    -0.66
    riz
    -0.66
    igi
    -0.65
     fooled
    -0.64
    POSITIVE LOGITS
     Picks
    1.48
     Annotations
    0.92
    ļéĨĴ
    0.79
    -+-+
    0.74
     âĹ
    0.74
    insula
    0.73
     WATCHED
    0.72
    aign
    0.72
     Received
    0.71
    ullivan
    0.70
    Activations Density 0.006%

    No Known Activations