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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. 8-RES-JB
    11. 138
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    Explanations

    details related to financial numbers or statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the creation or ongoing process of an event or situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Loving
    -0.62
     Memor
    -0.61
    eg
    -0.60
    ère
    -0.59
    tor
    -0.57
     Democr
    -0.57
     Tomb
    -0.56
    tro
    -0.56
    Ì
    -0.54
    OUP
    -0.54
    POSITIVE LOGITS
    ivably
    0.72
    arks
    0.71
     comparisons
    0.70
    hler
    0.68
    enhagen
    0.66
    BILITIES
    0.64
    ales
    0.63
    apo
    0.63
    pend
    0.62
    vals
    0.60
    Activations Density 0.144%

    No Known Activations