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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. 9-RES-JB
    6. 8384
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    INDEX
    Explanations

    reflexive pronouns or verbs indicating an action taken by the subject on itself

    oai_token-act-pair · gpt-3.5-turbo

    references to self-focused language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onal
    -0.73
    emis
    -0.64
    heny
    -0.64
    origin
    -0.63
    grade
    -0.60
     Vine
    -0.58
     Booth
    -0.57
    illery
    -0.57
     Alger
    -0.56
    ion
    -0.56
    POSITIVE LOGITS
    ortium
    0.72
     submar
    0.65
    ãĥķ
    0.65
     acquainted
    0.65
    agos
    0.64
    ãĤĭ
    0.64
    çīĪ
    0.64
     è£ıè
    0.63
    ãģı
    0.63
     accommod
    0.63
    Activations Density 0.044%

    No Known Activations