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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. 11-RES-JB
    11. 5324
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    Explanations

    specific times of day

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and time-related information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aido
    -0.76
     fortnight
    -0.62
    lehem
    -0.58
     morning
    -0.58
    GoldMagikarp
    -0.58
     glim
    -0.57
    »Ĵ
    -0.57
    etsk
    -0.57
     explan
    -0.57
    hold
    -0.57
    POSITIVE LOGITS
    62
    1.31
    96
    1.31
    63
    1.28
    52
    1.28
    56
    1.27
    93
    1.26
    59
    1.26
    89
    1.25
    68
    1.25
    92
    1.25
    Activations Density 0.053%

    No Known Activations