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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. 7-RES-JB
    6. 6676
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    Explanations

    personal opinions and perspectives

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinion or perspective

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raviolet
    -0.72
    lycer
    -0.68
    flush
    -0.68
    roup
    -0.65
    tin
    -0.63
    rium
    -0.62
    batch
    -0.61
    perty
    -0.59
     Combine
    -0.59
    wait
    -0.59
    POSITIVE LOGITS
     personally
    1.06
    adows
    0.92
    adow
    0.92
    OGR
    0.82
    Interstitial
    0.80
    cca
    0.78
    ©¶æ¥µ
    0.72
    xc
    0.69
    asured
    0.68
     myself
    0.67
    Activations Density 0.044%

    No Known Activations