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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. 3768
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    Explanations

    phrases indicating future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing future events or predictions

    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
     IPM
    -0.60
    vati
    -0.53
    roit
    -0.52
    DOWN
    -0.52
    vantage
    -0.51
     lett
    -0.51
    BuyableInstoreAndOnline
    -0.51
    elta
    -0.51
    emort
    -0.50
     pid
    -0.50
    POSITIVE LOGITS
     be
    1.23
     exist
    0.90
     always
    0.88
     BE
    0.84
     been
    0.83
     arise
    0.82
    be
    0.80
     Be
    0.78
    Be
    0.75
     definitely
    0.74
    Activations Density 0.056%

    No Known Activations