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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. 7-RES-JB
    11. 3848
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    Explanations

    specific names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    patterns of single characters or phonemes

    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
     conflic
    -0.75
    acebook
    -0.71
    sembly
    -0.63
    ?????-
    -0.63
    ription
    -0.61
     Seym
    -0.60
    GBT
    -0.60
    eatures
    -0.60
     encount
    -0.59
    mble
    -0.59
    POSITIVE LOGITS
    bush
    0.81
    mania
    0.71
    wer
    0.69
    hedon
    0.67
    hole
    0.66
    world
    0.65
    mong
    0.64
    ball
    0.64
    ville
    0.64
    puff
    0.64
    Activations Density 0.343%

    No Known Activations