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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. 5-RES-JB
    6. 18921
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    INDEX
    Explanations

    words related to a positive or desirable environment or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to environments or ecological contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.78
    butt
    -0.78
    Reviewer
    -0.77
    Ô
    -0.72
    quartered
    -0.71
    head
    -0.68
    esome
    -0.68
    soever
    -0.65
    dress
    -0.64
    drive
    -0.64
    POSITIVE LOGITS
     env
    1.10
    isions
    1.09
    ENTION
    0.89
    env
    0.88
    ours
    0.83
    olve
    0.82
    ision
    0.79
    ounter
    0.79
    utions
    0.75
    igrated
    0.75
    Activations Density 0.015%

    No Known Activations