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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. 4335
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to support or endorsement

    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
    ities
    -0.80
    urious
    -0.74
     ILCS
    -0.73
    illin
    -0.70
     Hots
    -0.68
    hester
    -0.68
    alde
    -0.67
    istics
    -0.65
    anny
    -0.65
    thora
    -0.64
    POSITIVE LOGITS
    backed
    0.79
    abies
    0.79
    track
    0.77
    GROUND
    0.77
     backing
    0.75
    drive
    0.74
    steen
    0.72
    raise
    0.71
    swing
    0.71
    drops
    0.69
    Activations Density 0.024%

    No Known Activations