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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. 8-RES-JB
    11. 14957
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    Explanations

    the word "the" at varying activations

    oai_token-act-pair · gpt-3.5-turbo

    empty segments or breaks in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /"
    -0.60
    egu
    -0.58
    —"
    -0.57
     beforehand
    -0.56
     alongside
    -0.56
    ãĥ¼ãĥĨ
    -0.55
    Keefe
    -0.55
    Ãĥ
    -0.55
    omever
    -0.54
    —-
    -0.54
    POSITIVE LOGITS
    resa
    0.87
    odore
    0.76
    atre
    0.74
    quickShipAvailable
    0.71
     greatest
    0.71
     largest
    0.70
     longest
    0.70
     hottest
    0.69
    orem
    0.68
    ta
    0.68
    Activations Density 0.080%

    No Known Activations