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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. 1670
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    Explanations

    explicit references indicating the attribution of statements or opinions to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "that."

    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
    arest
    -0.71
    cept
    -0.71
    Pont
    -0.68
    aukee
    -0.64
    IELD
    -0.63
    estern
    -0.62
    Tank
    -0.61
    oses
    -0.60
    EMBER
    -0.60
    andem
    -0.59
    POSITIVE LOGITS
     "[
    1.04
     although
    1.03
     '[
    0.83
     whilst
    0.77
     "...
    0.76
    soever
    0.75
     they
    0.74
     "âĢ¦
    0.74
     while
    0.73
     "#
    0.70
    Activations Density 0.196%

    No Known Activations