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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. 8-RES-JB
    11. 18720
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    INDEX
    Explanations

    terms signaling the need for explanation or justification

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to explaining concepts or phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sembly
    -0.79
    ngth
    -0.72
    Ranked
    -0.70
    opers
    -0.68
    ches
    -0.66
    ille
    -0.65
    net
    -0.63
    inion
    -0.63
    illet
    -0.62
    estial
    -0.61
    POSITIVE LOGITS
     why
    1.35
     WHY
    1.20
    why
    1.12
     explanations
    0.87
    ĸļ
    0.81
    Origin
    0.79
     how
    0.78
     disapp
    0.78
    abl
    0.73
     away
    0.72
    Activations Density 0.058%

    No Known Activations