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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. 8-RES-JB
    6. 19680
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    INDEX
    Explanations

    measurements or numerical data expressed in combination of digits

    oai_token-act-pair · gpt-3.5-turbo

    numeric values related to specific codes or frequencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estine
    -0.87
    gart
    -0.79
    lace
    -0.74
    prints
    -0.73
    oru
    -0.73
    friend
    -0.71
    print
    -0.70
    gotten
    -0.70
    comes
    -0.70
    hatt
    -0.70
    POSITIVE LOGITS
     ILCS
    1.03
    mph
    0.88
     entrants
    0.79
    ESSION
    0.77
    cffff
    0.76
    dB
    0.76
     chars
    0.75
     MPH
    0.74
     mph
    0.73
     dB
    0.71
    Activations Density 0.036%

    No Known Activations