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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. 23934
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    INDEX
    Explanations

    the definite article "the" occurring in sentences

    oai_token-act-pair · gpt-3.5-turbo

    empty or blank segments in the text

    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
     alongside
    -0.65
    —"
    -0.65
    Ãĥ
    -0.62
    /"
    -0.62
    —-
    -0.61
    omever
    -0.60
    iffe
    -0.58
     theirs
    -0.57
    .*
    -0.57
     besides
    -0.56
    POSITIVE LOGITS
    resa
    0.90
    atre
    0.87
    odore
    0.86
    orem
    0.82
     greatest
    0.76
    quickShipAvailable
    0.76
    oret
    0.76
     largest
    0.74
    urgy
    0.74
     longest
    0.73
    Activations Density 0.085%

    No Known Activations