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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23604
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    Explanations

    legal or criminal involvements in a given text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "involving" and related contexts indicating connections to various subjects or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     teasp
    -0.78
    imet
    -0.76
    ©¶æ¥µ
    -0.76
    nery
    -0.75
    asis
    -0.75
    nis
    -0.74
    omet
    -0.72
    athy
    -0.71
    ochond
    -0.71
    owicz
    -0.70
    POSITIVE LOGITS
     underage
    0.64
     regards
    0.63
     involving
    0.63
     RTX
    0.60
     minors
    0.60
     allegations
    0.60
     Curious
    0.59
    between
    0.59
     improper
    0.58
     both
    0.58
    Activations Density 0.063%

    No Known Activations