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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. 0-RES-JB
    11. 6352
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    Explanations

    different aspects or perspectives within various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various aspects or features of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ello
    -0.74
    umes
    -0.68
    ulet
    -0.67
    cakes
    -0.64
    efer
    -0.64
    wait
    -0.63
     jammed
    -0.63
    hers
    -0.62
    oko
    -0.61
    ucky
    -0.60
    POSITIVE LOGITS
     aspect
    3.57
     aspects
    2.12
     facet
    1.89
     element
    1.69
     facets
    1.50
     dimension
    1.46
     component
    1.36
     angle
    1.32
     factor
    1.26
     portion
    1.26
    Activations Density 0.012%

    No Known Activations