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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. 10-RES-JB
    6. 397
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    INDEX
    Explanations

    phrases related to consequences or feedback, especially negative ones

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "back" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parenthood
    -0.69
    ison
    -0.66
    aukee
    -0.64
    inational
    -0.62
    ijn
    -0.60
     ..............
    -0.60
     Fey
    -0.59
    entric
    -0.58
     Kiw
    -0.58
    ptin
    -0.58
    POSITIVE LOGITS
    stab
    1.27
    tracking
    1.26
    dated
    1.22
    packs
    1.20
    doors
    1.17
    packing
    1.14
    track
    1.13
    fired
    1.12
    bones
    1.10
    gam
    1.08
    Activations Density 0.041%

    No Known Activations