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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. 6-RES-JB
    11. 416
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    Explanations

    numbers and numerical information in sentences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.69
    sonian
    -0.65
    effects
    -0.62
    eur
    -0.61
    ouf
    -0.59
    esi
    -0.59
    ahime
    -0.58
    Unity
    -0.56
    Products
    -0.56
     Cros
    -0.55
    POSITIVE LOGITS
     totaling
    1.25
     apiece
    1.22
     consecut
    0.99
     respectively
    0.89
     including
    0.88
     Including
    0.86
     total
    0.81
     each
    0.79
    including
    0.78
    each
    0.76
    Activations Density 0.721%

    No Known Activations