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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. 17608
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    Explanations

    instances where individuals believe they can achieve certain outcomes or accomplish specific tasks

    oai_token-act-pair · gpt-3.5-turbo

    words indicating the ability or possibility of an action

    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
    furt
    -0.70
     Federation
    -0.68
     revision
    -0.66
     Likes
    -0.63
     Rings
    -0.63
     rejection
    -0.61
     Irving
    -0.61
     Strikes
    -0.60
     Yards
    -0.59
     rehearsal
    -0.58
    POSITIVE LOGITS
    't
    1.60
    berra
    1.18
    adian
    1.11
    NOT
    1.08
     afford
    1.07
    ieve
    0.89
     easily
    0.87
    isters
    0.87
    vas
    0.86
     regulate
    0.83
    Activations Density 0.179%

    No Known Activations