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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. 10-RES-JB
    11. 21816
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    Explanations

    phrases indicating that something is important or relevant

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing indifference or lack of concern

    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
    catentry
    -0.77
    ccording
    -0.73
    ggles
    -0.71
    UES
    -0.71
    visor
    -0.71
    oward
    -0.70
    ãĤº
    -0.68
    ãĥĢ
    -0.64
     entreprene
    -0.64
     antit
    -0.63
    POSITIVE LOGITS
     anymore
    1.45
     if
    1.12
     whether
    1.07
     whatsoever
    1.02
     unless
    0.98
     anyways
    0.91
     anyway
    0.89
     HOW
    0.87
     WHAT
    0.86
     till
    0.84
    Activations Density 0.065%

    No Known Activations