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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. 4-RES-JB
    11. 1185
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    Explanations

    phrases related to societal issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "We" indicating a collective perspective or group involvement

    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
     LSD
    -0.63
    INGTON
    -0.61
    cum
    -0.61
     REUTERS
    -0.59
     steroids
    -0.59
     PUBLIC
    -0.59
     guiActiveUnfocused
    -0.58
     gratification
    -0.57
    FACE
    -0.56
    CENT
    -0.56
    POSITIVE LOGITS
    've
    1.12
    're
    1.06
    'll
    1.04
    ldon
    0.96
    bley
    0.90
    ighed
    0.90
    selves
    0.90
    akening
    0.89
    asel
    0.88
    alth
    0.88
    Activations Density 0.170%

    No Known Activations