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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. 7-RES-JB
    6. 15719
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    INDEX
    Explanations

    mentions of additions or new elements being introduced

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to new elements being incorporated or included

    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
    rior
    -0.76
    zees
    -0.67
    zee
    -0.65
    rpm
    -0.64
    raz
    -0.63
    ms
    -0.61
    awar
    -0.60
    rage
    -0.59
    nc
    -0.59
    rolled
    -0.56
    POSITIVE LOGITS
    endum
    1.02
     thereto
    0.91
    xual
    0.89
    ition
    0.79
     insult
    0.77
    verted
    0.76
    itives
    0.73
     Flavoring
    0.73
    ement
    0.71
    xon
    0.70
    Activations Density 0.032%

    No Known Activations