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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. 7-RES-JB
    11. 14640
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    Explanations

    cryptic character strings, possibly resembling codes or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character 'Ĺ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iddles
    -0.89
    asonic
    -0.79
    awar
    -0.76
    idges
    -0.74
    agin
    -0.70
    builders
    -0.70
    pherd
    -0.69
     Beir
    -0.69
    ighed
    -0.69
    igans
    -0.66
    POSITIVE LOGITS
    lishing
    1.00
    æĸ¹
    0.89
    é»Ĵ
    0.88
    lio
    0.85
    gers
    0.78
    lish
    0.77
    CAST
    0.76
    GY
    0.75
    ging
    0.73
    Ĺ
    0.73
    Activations Density 0.032%

    No Known Activations