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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. 6-RES-JB
    6. 3283
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    Explanations

    phrases related to climate and weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to climbing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.79
    ICLE
    -0.72
     Blessed
    -0.65
    insula
    -0.64
    REDACTED
    -0.63
     Machina
    -0.63
     Kirin
    -0.60
     Alonso
    -0.59
     lap
    -0.59
    DEP
    -0.57
    POSITIVE LOGITS
    bers
    1.04
    pse
    1.02
    psons
    0.98
    entary
    0.97
    bered
    0.93
    ax
    0.92
    mie
    0.89
    ogy
    0.88
    ber
    0.88
    onial
    0.88
    Activations Density 0.016%

    No Known Activations