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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. 7-RES-JB
    6. 2339
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    Explanations

    terms related to technical practices and regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social structures and relationships, particularly in the context of occupations and familial connections

    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
    etheless
    -0.61
    ggles
    -0.61
    utics
    -0.60
    Semitism
    -0.60
    ukong
    -0.59
    ulhu
    -0.58
    ŃĶ
    -0.56
     Canaver
    -0.55
    onsense
    -0.55
    Dialogue
    -0.55
    POSITIVE LOGITS
     or
    0.76
    iliated
    0.62
    /
    0.59
    itial
    0.58
    entary
    0.56
     "$:/
    0.54
     and
    0.54
    âĢij
    0.53
    pection
    0.52
    ual
    0.51
    Activations Density 1.280%

    No Known Activations