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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. 23386
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    Explanations

    phrases that begin with "Each" and describe individual items or elements belonging to a group

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to representation and challenges in various contexts

    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
    WM
    -0.70
    qus
    -0.67
    rers
    -0.65
     abound
    -0.63
     Curt
    -0.62
     Farrell
    -0.62
    Ws
    -0.62
     Bron
    -0.61
    dm
    -0.61
    paren
    -0.59
    POSITIVE LOGITS
     individually
    1.44
     separately
    1.15
     independently
    0.98
     unique
    0.98
     varying
    0.89
     distinct
    0.88
     differing
    0.86
     uniquely
    0.84
     differently
    0.82
     respective
    0.79
    Activations Density 0.290%

    No Known Activations