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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 24325
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    Explanations

    years written in the format of DD-DDDD where D represents a digit

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with the number 17

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orc
    -0.90
    senal
    -0.83
    ovie
    -0.81
    enhagen
    -0.81
    mble
    -0.80
    ensed
    -0.77
     millenn
    -0.77
     tradem
    -0.76
     regenerate
    -0.73
     tremend
    -0.72
    POSITIVE LOGITS
    76
    0.91
    06
    0.91
    08
    0.88
    07
    0.86
    rd
    0.86
    87
    0.86
    83
    0.84
    03
    0.84
    09
    0.84
    77
    0.83
    Activations Density 0.029%

    No Known Activations