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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. 625
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    Explanations

    French words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    Spanish or French words and phrases

    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
    hips
    -1.00
    inatory
    -0.85
    alos
    -0.85
    short
    -0.85
    circ
    -0.83
    acles
    -0.83
    rays
    -0.82
    ickson
    -0.80
    anmar
    -0.80
    iants
    -0.80
    POSITIVE LOGITS
    ño
    1.36
    zza
    1.01
    chnology
    0.98
    ffect
    0.97
    lda
    0.96
    lla
    0.94
    gger
    0.92
    brate
    0.89
    ppe
    0.88
    ttes
    0.85
    Activations Density 0.190%

    No Known Activations