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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. 21091
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    Explanations

    words related to consideration, judgment, or assessment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluations and judgments in various contexts

    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
    yrinth
    -0.77
    ICLE
    -0.77
    hemy
    -0.76
    chell
    -0.76
    uras
    -0.73
    lav
    -0.70
    idity
    -0.69
    ured
    -0.68
    NetMessage
    -0.67
    uve
    -0.67
    POSITIVE LOGITS
    apter
    0.76
     GOODMAN
    0.74
    ÅĤ
    0.73
     reckoned
    0.73
    ODUCT
    0.71
    payers
    0.71
    restling
    0.68
    puter
    0.68
    ashington
    0.66
    ailable
    0.65
    Activations Density 0.021%

    No Known Activations