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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. 5540
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    INDEX
    Explanations

    instances where the text describes providing detailed explanations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the preposition "in" and its context-related phrases

    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
    yss
    -0.84
    airy
    -0.65
    ected
    -0.65
    etsk
    -0.64
    llor
    -0.63
    weather
    -0.62
    opausal
    -0.62
    ellar
    -0.62
    ythm
    -0.61
    yk
    -0.61
    POSITIVE LOGITS
     detail
    1.70
     depth
    1.40
     greater
    1.08
    depth
    1.06
     chronological
    1.06
     excruciating
    1.05
     finer
    1.01
     terms
    1.00
     Depth
    1.00
    Depth
    0.96
    Activations Density 0.149%

    No Known Activations