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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. 3-RES-JB
    6. 22049
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    Explanations

    names of individuals related to news or politics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly "Maddow" and "Maggie"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     microwave
    -0.74
    ccording
    -0.72
     Origin
    -0.71
    ASED
    -0.69
    pta
    -0.64
     Viking
    -0.64
     predatory
    -0.64
    âĸ¬
    -0.64
    chnology
    -0.64
     SCHOOL
    -0.63
    POSITIVE LOGITS
     Madd
    1.11
    ox
    0.92
    sylv
    0.91
    oline
    0.90
    enh
    0.90
    ota
    0.89
    ison
    0.85
    ani
    0.85
    alos
    0.85
    ings
    0.83
    Activations Density 0.007%

    No Known Activations