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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17672
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ength
    -0.90
    acea
    -0.88
    oaded
    -0.86
    arios
    -0.81
    istically
    -0.81
    ient
    -0.80
    anguage
    -0.79
    adium
    -0.78
    pmwiki
    -0.78
    uality
    -0.78
    POSITIVE LOGITS
    м
    1.21
    ·
    1.18
    н
    1.09
    д
    1.05
    Ð
    1.04
    в
    1.03
    л
    1.02
    ÑĢ
    1.02
    к
    1.01
    Ĺ
    0.98
    Activations Density 0.015%

    No Known Activations