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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. 7-RES-JB
    6. 15053
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    Explanations

    phrases related to specific actions or descriptions of events occurring

    oai_token-act-pair · gpt-3.5-turbo

    the presence of an end-of-text marker in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    herer
    -0.66
    emale
    -0.60
     beforehand
    -0.59
    ornings
    -0.58
    /"
    -0.56
    *.
    -0.54
    ugen
    -0.54
     accordingly
    -0.54
     afterwards
    -0.53
    EF
    -0.53
    POSITIVE LOGITS
     same
    0.83
     foregoing
    0.80
     hottest
    0.77
     entirety
    0.75
     remainder
    0.75
     simplest
    0.74
     largest
    0.73
    resa
    0.72
     smallest
    0.71
     following
    0.71
    Activations Density 0.759%

    No Known Activations