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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5240
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    INDEX
    Explanations

    words related to mental health or psychological states, specifically with a focus on negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with irrational or extreme behavior, particularly in a political context

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

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.75
     Norn
    -0.75
    ORN
    -0.74
    Constructed
    -0.72
    LECT
    -0.72
    USE
    -0.71
    åĬ
    -0.70
     Dome
    -0.69
    EVA
    -0.67
     Gamble
    -0.66
    POSITIVE LOGITS
    cheon
    1.22
    acy
    1.19
    acies
    1.17
    atic
    1.14
    atics
    1.10
    atical
    1.05
    gement
    1.03
     lun
    1.01
    aries
    0.98
    atural
    0.94
    Activations Density 0.014%

    No Known Activations