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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. 9-RES-JB
    6. 15816
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    Explanations

    names of prominent public figures

    oai_token-act-pair · gpt-3.5-turbo

    sequences of letters that appear to form parts of words or names

    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
    staking
    -0.62
    âĶĢâĶĢ
    -0.52
     Reincarn
    -0.50
     Intelligent
    -0.50
    âĢ¢âĢ¢
    -0.49
     anchors
    -0.49
    ĸļ
    -0.49
    shapeshifter
    -0.48
     glasses
    -0.48
    REDACTED
    -0.48
    POSITIVE LOGITS
    inski
    0.84
    encia
    0.82
    hett
    0.78
    ov
    0.77
    insky
    0.74
    berg
    0.74
    acus
    0.72
    yna
    0.72
    inav
    0.72
    nikov
    0.71
    Activations Density 0.131%

    No Known Activations