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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. 9-RES-JB
    6. 21383
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the name "Brooks" in various contexts

    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
    ministic
    -0.79
    awei
    -0.78
    ality
    -0.72
    izen
    -0.72
    ugal
    -0.68
    TY
    -0.68
    izoph
    -0.67
    inel
    -0.66
    igators
    -0.66
     elig
    -0.65
    POSITIVE LOGITS
     Brothers
    0.93
    oks
    0.90
    boro
    0.80
    ãģĨ
    0.80
    combe
    0.76
    dale
    0.76
     Reed
    0.74
     Fargo
    0.73
    leys
    0.71
    mire
    0.71
    Activations Density 0.064%

    No Known Activations