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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 16125
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    INDEX
    Explanations

    quantities or extents of things

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance or importance of "a great deal."

    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
     livest
    -0.68
    idden
    -0.60
    irie
    -0.60
    olated
    -0.59
    aeper
    -0.59
    wagen
    -0.58
    bard
    -0.58
     scapego
    -0.58
    uled
    -0.58
    °
    -0.57
    POSITIVE LOGITS
     surpr
    0.85
    ership
    0.80
     (>
    0.79
    terness
    0.76
     amounts
    0.73
    ortment
    0.71
     amount
    0.69
    breaker
    0.69
    uncture
    0.69
     deal
    0.68
    Activations Density 0.046%

    No Known Activations