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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. 3-RES-JB
    6. 22533
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    INDEX
    Explanations

    negative descriptions or insults

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "buff" as it relates to character attributes or physical descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ________________________
    -0.84
    FTWARE
    -0.71
    AMY
    -0.66
     Flavoring
    -0.64
    PLAY
    -0.63
    VID
    -0.61
    ————————
    -0.61
     Predators
    -0.60
    QUIRE
    -0.60
    Gameplay
    -0.59
    POSITIVE LOGITS
    alon
    1.09
    alos
    1.03
    ered
    1.01
    aign
    0.99
    alo
    0.98
     buff
    0.98
    eful
    0.91
    oon
    0.91
    buff
    0.90
    iency
    0.90
    Activations Density 0.005%

    No Known Activations