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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. 10-RES-JB
    6. 8319
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    Explanations

    phrases continuing or listing items in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or punctuation indicating excitement or strong emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.83
    ord
    -0.71
    uder
    -0.68
    IELD
    -0.67
    trap
    -0.67
    riet
    -0.66
    ãĥĥãĥĪ
    -0.65
    enei
    -0.65
    cil
    -0.65
    ORT
    -0.64
    POSITIVE LOGITS
    â̦â̦â̦â̦â̦â̦â̦â̦
    1.01
    â̦â̦â̦â̦
    0.98
     Continue
    0.91
    ³³³³³³³³³³³³³³³³
    0.80
     Continued
    0.77
     Written
    0.76
     Became
    0.73
     uh
    0.71
    .....
    0.71
     blah
    0.70
    Activations Density 0.026%

    No Known Activations