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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. 6048
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    Explanations

    descriptions of specific numbers of entities or items

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of commas or the presence of lists

    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
    KEN
    -0.79
    conom
    -0.77
    tnc
    -0.77
    ¬¼
    -0.74
    WER
    -0.73
    ukong
    -0.72
    orem
    -0.71
    wyn
    -0.70
    eon
    -0.70
    aura
    -0.69
    POSITIVE LOGITS
     including
    1.60
     totaling
    1.43
     ranging
    1.42
    including
    1.35
     spanning
    1.27
     includ
    1.26
     Including
    1.21
     comprising
    1.16
     mostly
    1.16
    mostly
    1.16
    Activations Density 0.289%

    No Known Activations