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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. 10-RES-JB
    6. 21130
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    Explanations

    phrases indicating the direction of an action or relationship

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest alternative perspectives or methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.03
    uster
    -0.91
    usters
    -0.91
    egu
    -0.64
     Parenthood
    -0.63
     subsequ
    -0.63
     OU
    -0.61
     appre
    -0.60
    nutrition
    -0.58
    ITED
    -0.58
    POSITIVE LOGITS
    fare
    1.03
    finding
    0.86
     round
    0.78
    ward
    0.77
    trip
    0.76
    point
    0.72
     Around
    0.69
    points
    0.69
    kell
    0.68
    forward
    0.68
    Activations Density 0.052%

    No Known Activations