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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. 6677
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    INDEX
    Explanations

    phrases related to wars or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "War" in various contexts

    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
    sembly
    -0.95
    essee
    -0.91
    Ħ¢
    -0.87
    aunder
    -0.82
    İĭ
    -0.81
    ħĭ
    -0.78
    FORMATION
    -0.74
    etsk
    -0.74
    aminer
    -0.72
    ibilities
    -0.67
    POSITIVE LOGITS
    fare
    1.23
    lords
    1.23
    rior
    1.22
    lord
    1.16
    riors
    1.15
    locks
    0.94
    war
    0.87
    ring
    0.87
    restling
    0.86
    ped
    0.86
    Activations Density 0.025%

    No Known Activations