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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. 13806
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    Explanations

    mentions of a specific person named "Sche"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Sche" in relation to actions or statements

    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
    ORED
    -0.77
    Downloadha
    -0.72
     vic
    -0.67
    INGTON
    -0.66
     warranties
    -0.65
     incidentally
    -0.65
     Taiwanese
    -0.63
     adore
    -0.62
    ĺħ
    -0.62
     Staples
    -0.61
    POSITIVE LOGITS
    dule
    1.22
    infeld
    1.13
    lling
    1.06
    fter
    1.03
    ller
    0.98
    cker
    0.98
    tto
    0.92
    etz
    0.92
    witz
    0.92
    ben
    0.91
    Activations Density 0.036%

    No Known Activations