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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. 2-RES-JB
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    Explanations

    phrases related to individuals facing potential legal or criminal charges

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals or entities undergoing various situations or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©Ł
    -0.81
    aneously
    -0.71
    aneous
    -0.71
    rom
    -0.67
     olig
    -0.65
    ary
    -0.64
    ally
    -0.64
     motor
    -0.61
    ether
    -0.61
     micro
    -0.60
    POSITIVE LOGITS
     faces
    1.11
     Faces
    1.00
    metics
    0.95
     face
    0.94
    pots
    0.85
    hift
    0.84
    faces
    0.83
    papers
    0.80
    Face
    0.79
    faced
    0.78
    Activations Density 0.011%

    No Known Activations