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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8626
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    Explanations

    phrases related to additions or new elements being introduced

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "addition" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zh
    -0.70
    zees
    -0.67
    rior
    -0.65
    raz
    -0.65
    yah
    -0.63
    bis
    -0.62
    zi
    -0.62
    zee
    -0.61
    walking
    -0.61
    mos
    -0.60
    POSITIVE LOGITS
    endum
    0.99
    xual
    0.86
    ition
    0.84
    itious
    0.80
    verted
    0.78
     Flavoring
    0.76
     thereto
    0.73
    xon
    0.73
     insult
    0.71
     bonus
    0.69
    Activations Density 0.020%

    No Known Activations