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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. 4-RES-JB
    11. 4317
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    Explanations

    mentions of clothing items, specifically suits

    oai_token-act-pair · gpt-3.5-turbo

    references to suits and formal attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.74
    eger
    -0.67
    arta
    -0.65
    rolet
    -0.64
    theless
    -0.64
    olic
    -0.60
    reference
    -0.59
    OWN
    -0.59
    7601
    -0.59
    prototype
    -0.59
    POSITIVE LOGITS
    cases
    1.33
    ably
    1.25
    suit
    1.15
    ability
    1.10
     suits
    0.98
    suits
    0.98
     suit
    0.91
     jacket
    0.88
    uit
    0.86
    case
    0.85
    Activations Density 0.011%

    No Known Activations