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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. 6-RES-JB
    11. 24358
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    Explanations

    mentions related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or locations, particularly in a news context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.70
    Ĥİ
    -0.69
    BILITIES
    -0.68
    CONCLUS
    -0.68
    Pg
    -0.68
    OVER
    -0.64
    etheless
    -0.64
    cru
    -0.63
    Reviewer
    -0.63
    SQL
    -0.63
    POSITIVE LOGITS
    interstitial
    0.73
     Teg
    0.71
     Photos
    0.69
     Photograph
    0.66
     reacts
    0.66
     leaves
    0.66
     IMAGES
    0.65
    anwhile
    0.63
    aden
    0.62
    utterstock
    0.61
    Activations Density 0.560%

    No Known Activations