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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. 10205
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    Explanations

    lengthy descriptions or discussions

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to the duration or length of processes or documents

    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
    âĪĴ
    -0.67
    ore
    -0.63
    dar
    -0.63
    dn
    -0.60
    ***
    -0.58
     vs
    -0.57
    !
    -0.57
    metry
    -0.57
     Properties
    -0.56
    *
    -0.56
    POSITIVE LOGITS
     lengthy
    3.16
     protracted
    1.82
     prolonged
    1.57
     extensive
    1.55
     hefty
    1.42
     cumbersome
    1.40
     exhaustive
    1.40
     tedious
    1.40
     brief
    1.38
     convoluted
    1.34
    Activations Density 0.015%

    No Known Activations