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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. 24162
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    Explanations

    phrases related to telecommunication companies, with a focus on "AT&T"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company AT&T

    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
    perse
    -0.87
    aceutical
    -0.70
    theless
    -0.69
    clean
    -0.69
    released
    -0.68
    ovych
    -0.65
    reviewed
    -0.65
    itives
    -0.64
    hops
    -0.62
    fully
    -0.62
    POSITIVE LOGITS
    mega
    1.00
    tiny
    0.98
    ARI
    0.93
    OM
    0.88
    AT
    0.83
    ICAN
    0.83
    Ms
    0.83
    ributes
    0.82
    OC
    0.80
    TL
    0.80
    Activations Density 0.019%

    No Known Activations