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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. 12-RES-JB
    11. 5047
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    INDEX
    Explanations

    phrases related to expectations or predictions

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to expectations or anticipated outcomes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    abase
    -0.67
    ashtra
    -0.64
     agre
    -0.63
    agra
    -0.61
    ackets
    -0.61
    tein
    -0.60
    itaire
    -0.59
    farious
    -0.59
    toggle
    -0.59
    onds
    -0.59
    POSITIVE LOGITS
     from
    1.06
     FROM
    0.82
     given
    0.80
    From
    0.76
    from
    0.74
     of
    0.74
     seeing
    0.71
     From
    0.70
     coming
    0.70
     occurring
    0.67
    Activations Density 0.154%

    No Known Activations