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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. 10-RES-JB
    11. 21425
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    Explanations

    references to specific numbers and codes, such as "101" and "501"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific codes or identifiers related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ania
    -0.77
    iated
    -0.69
     Nadu
    -0.66
     Isles
    -0.63
    asts
    -0.63
    teen
    -0.62
    oaded
    -0.62
    uffs
    -0.61
    arching
    -0.60
    oney
    -0.60
    POSITIVE LOGITS
    st
    1.11
    onsense
    0.90
    043
    0.88
    041
    0.88
    09
    0.87
    ĸļ
    0.84
    ĨĴ
    0.83
    08
    0.82
    07
    0.82
    503
    0.81
    Activations Density 0.072%

    No Known Activations