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    1. Home
    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. 12891
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    Explanations

    phrases indicating changing locations or positions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating movement or transition

    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
    glass
    -0.69
    BALL
    -0.66
    Glass
    -0.65
    TD
    -0.63
     indu
    -0.63
     psi
    -0.62
    urable
    -0.62
     snapped
    -0.61
    cone
    -0.60
     Statistical
    -0.59
    POSITIVE LOGITS
     obscurity
    0.74
    ilet
    0.74
     await
    0.71
    ontent
    0.71
    Sad
    0.70
    bia
    0.69
     pursue
    0.66
    arettes
    0.66
     fend
    0.66
     Dign
    0.65
    Activations Density 0.195%

    No Known Activations