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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. 7207
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    Explanations

    phrases related to comparison or preference

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain the word "that" followed by various discussions or descriptions

    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
    hip
    -0.73
    ivery
    -0.68
    hell
    -0.68
    zek
    -0.66
    igation
    -0.66
    soDeliveryDate
    -0.65
    aq
    -0.63
    ahime
    -0.63
    Bow
    -0.61
    hips
    -0.60
    POSITIVE LOGITS
     distinguishes
    1.08
     bothers
    1.03
     deserves
    0.98
     mattered
    0.97
     seemed
    0.97
     bothered
    0.96
     emerges
    0.94
     disappoint
    0.93
     impressed
    0.93
     stood
    0.92
    Activations Density 0.165%

    No Known Activations