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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. 1-RES-JB
    11. 7451
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or titles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.75
    etheless
    -0.59
    Ĥİ
    -0.54
    Reviewer
    -0.52
    externalActionCode
    -0.48
     ACTIONS
    -0.47
     citiz
    -0.47
     Obj
    -0.46
    ãĤ°
    -0.45
     surface
    -0.45
    POSITIVE LOGITS
    illo
    0.57
    inton
    0.55
    atton
    0.54
    oking
    0.53
    nton
    0.53
    igi
    0.53
    cko
    0.52
    igg
    0.52
    ague
    0.52
    hess
    0.52
    Activations Density 3.255%

    No Known Activations