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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. 12796
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    Explanations

    terms related to statistical measurements or specifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical standards or measurements

    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
    lov
    -0.95
    oves
    -0.76
    vice
    -0.71
    ilia
    -0.68
     Gardens
    -0.66
    vic
    -0.65
     Tayyip
    -0.65
    apse
    -0.64
    otions
    -0.63
    aph
    -0.62
    POSITIVE LOGITS
     standard
    3.63
    standard
    2.53
     Standard
    2.29
    Standard
    2.12
     standards
    2.04
     standardized
    1.58
     Standards
    1.57
     normal
    1.56
     typical
    1.54
     conventional
    1.38
    Activations Density 0.009%

    No Known Activations