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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. 983
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    Explanations

    terms related to specific entities or events such as businesses, locations, or activities

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to entities, organizations, or significant subjects in various contexts

    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
    theless
    -0.80
     Guan
    -0.66
     Almighty
    -0.60
    FontSize
    -0.59
     Haf
    -0.56
     Reloaded
    -0.56
    ussions
    -0.56
    xff
    -0.56
     oneself
    -0.56
    lied
    -0.55
    POSITIVE LOGITS
    omore
    0.76
    azeera
    0.72
    aughters
    0.71
    ultimate
    0.71
    inki
    0.70
    omi
    0.68
    hett
    0.68
    udeb
    0.67
    deen
    0.65
    cience
    0.65
    Activations Density 0.346%

    No Known Activations