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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. 9-RES-JB
    11. 9012
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    INDEX
    Explanations

    phrases related to various proposals and plans

    oai_token-act-pair · gpt-3.5-turbo

    statements of potential outcomes or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
    verning
    -0.70
    gd
    -0.70
    juries
    -0.69
    ãĥ©ãĥ³
    -0.68
     +++
    -0.67
     correcting
    -0.67
    Display
    -0.67
     +/-
    -0.66
     fault
    -0.65
    POSITIVE LOGITS
     proposal
    1.48
     feasibility
    1.43
     proposals
    1.38
     proposed
    1.32
     envis
    1.28
     envisioned
    1.19
     envision
    1.14
     hypothetical
    1.13
     possibilities
    1.10
     idea
    1.10
    Activations Density 1.277%

    No Known Activations