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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. 9-RES-JB
    6. 22715
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    Explanations

    texts discussing future expectations or predictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating predictions or anticipations about future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.77
    rehens
    -0.64
    tex
    -0.64
    tha
    -0.63
    stract
    -0.58
    illusion
    -0.58
    lip
    -0.58
    cock
    -0.57
    izoph
    -0.56
    ccess
    -0.56
    POSITIVE LOGITS
     soon
    0.73
    imately
    0.68
    ologically
    0.68
    ĭ
    0.66
     to
    0.66
     Beir
    0.64
     later
    0.64
     Soon
    0.64
     sooner
    0.62
    utory
    0.62
    Activations Density 0.038%

    No Known Activations