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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. 8-RES-JB
    6. 9651
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    Explanations

    the word "there" occurring with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "there" indicating emphasis on existence or presence in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shoot
    -0.65
     Honour
    -0.64
    ONSORED
    -0.62
     Heights
    -0.59
    ship
    -0.58
    uously
    -0.57
    tnc
    -0.57
    full
    -0.56
    isable
    -0.56
    ée
    -0.54
    POSITIVE LOGITS
    abouts
    1.48
    etheless
    0.98
    upon
    0.95
    fore
    0.81
    after
    0.75
     are
    0.74
     aren
    0.72
    FORE
    0.72
    choes
    0.71
    enty
    0.71
    Activations Density 0.108%

    No Known Activations