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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. 1-RES-JB
    6. 23432
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    Explanations

    dates formatted in different styles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 2 in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -1.05
     "$:/
    -0.70
    lehem
    -0.68
    amaru
    -0.67
    rolet
    -0.67
     stru
    -0.67
    otle
    -0.66
    icone
    -0.66
    olate
    -0.64
    efully
    -0.64
    POSITIVE LOGITS
    nd
    1.44
    160
    1.04
    155
    1.03
    133
    1.02
    245
    1.00
    132
    0.99
    146
    0.99
    147
    0.99
    145
    0.98
    187
    0.98
    Activations Density 0.060%

    No Known Activations