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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. 11399
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    INDEX
    Explanations

    comparisons between different situations or entities

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that highlight preferences or contrasts

    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
    estern
    -0.86
    illary
    -0.75
    ero
    -0.72
    umbn
    -0.70
    roo
    -0.68
    ahime
    -0.68
    OSP
    -0.67
    ango
    -0.67
    eri
    -0.67
    uron
    -0.66
    POSITIVE LOGITS
     anything
    1.26
     any
    1.05
     ever
    0.96
     anybody
    0.94
     anyone
    0.94
     vice
    0.81
     necessarily
    0.80
     usual
    0.75
     actual
    0.75
     anywhere
    0.74
    Activations Density 0.102%

    No Known Activations