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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21246
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    Explanations

    mentions of the name "Kent" along with various associated details

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Kent" 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
    xual
    -0.82
     CTR
    -0.80
     behavi
    -0.77
    cial
    -0.71
    SHIP
    -0.69
    ̶
    -0.67
    issance
    -0.66
    FACE
    -0.66
    EGIN
    -0.66
    Versions
    -0.64
    POSITIVE LOGITS
    ucky
    1.33
    uck
    0.98
    rell
    0.92
    wood
    0.85
    ronics
    0.82
    ieth
    0.80
    IELD
    0.79
    uba
    0.79
    ee
    0.78
    ridge
    0.78
    Activations Density 0.050%

    No Known Activations