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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. 7012
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    INDEX
    Explanations

    instances where events are described in relation to time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time and frequency

    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
    hor
    -0.50
    oya
    -0.49
    Oregon
    -0.49
    hop
    -0.48
     Prosecut
    -0.47
    -)
    -0.46
    intention
    -0.46
    ]'
    -0.45
    )'
    -0.45
    hal
    -0.44
    POSITIVE LOGITS
     fructose
    0.53
    */(
    0.51
    ielding
    0.51
    iatrics
    0.48
    widget
    0.47
     favour
    0.46
     frightening
    0.46
     undet
    0.45
     disguise
    0.45
     unsuspecting
    0.44
    Activations Density 0.833%

    No Known Activations