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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. 14102
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    Explanations

    numerical measurements

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and specifications related to technology

    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
     Nad
    -0.67
     Sans
    -0.60
     goose
    -0.59
    eanor
    -0.58
    andise
    -0.58
    nih
    -0.58
     Alger
    -0.58
     Lank
    -0.56
     sag
    -0.56
    ufact
    -0.56
    POSITIVE LOGITS
    fig
    0.80
    ĪĴ
    0.74
    ãĥ´ãĤ¡
    0.73
    PF
    0.73
    875
    0.72
    inch
    0.69
    9
    0.67
    7601
    0.66
    Ele
    0.65
    62
    0.65
    Activations Density 0.224%

    No Known Activations