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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. 7-RES-JB
    11. 3537
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    Explanations

    phrases indicating distance or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a temporal context or ongoing conditions

    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
    abilia
    -0.65
    riz
    -0.63
    atro
    -0.62
     murd
    -0.62
    cause
    -0.62
    andal
    -0.61
     kindred
    -0.61
    -+
    -0.59
    aeda
    -0.59
    habi
    -0.59
    POSITIVE LOGITS
    adays
    0.89
     we
    0.79
     there
    0.78
     however
    0.76
     though
    0.68
     they
    0.65
     Background
    0.65
     nobody
    0.61
    nown
    0.59
     THERE
    0.58
    Activations Density 0.068%

    No Known Activations