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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. 1070
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    Explanations

    comparisons and contrasts between different entities or categories

    oai_token-act-pair · gpt-3.5-turbo

    comparisons involving quantities, particularly in academic or research contexts

    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
    iso
    -0.75
    wow
    -0.72
    iden
    -0.70
    hene
    -0.68
    fax
    -0.67
    arat
    -0.64
    zai
    -0.64
    arta
    -0.63
    otto
    -0.63
    eri
    -0.62
    POSITIVE LOGITS
     ones
    1.59
    those
    1.47
     those
    1.37
     situations
    1.10
     individuals
    1.10
     persons
    1.07
     areas
    1.05
     entities
    1.01
     places
    0.99
     things
    0.99
    Activations Density 0.705%

    No Known Activations