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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. 7-RES-JB
    11. 13840
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    Explanations

    phrases related to intentions or goals

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to intention, roles, responsibilities, and goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thinkable
    -0.82
    skirts
    -0.69
    cand
    -0.68
    aucus
    -0.67
    ghai
    -0.66
    orks
    -0.66
    ards
    -0.64
    amsung
    -0.62
    renches
    -0.62
    ensus
    -0.61
    POSITIVE LOGITS
     counterpart
    0.86
     foray
    0.84
    aiden
    0.83
     choice
    0.81
     incarn
    0.77
     buddies
    0.76
     cousin
    0.74
    Favorite
    0.74
     Majesty
    0.73
     selves
    0.73
    Activations Density 0.196%

    No Known Activations