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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. 8-RES-JB
    11. 164
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    Explanations

    phrases related to assembling or constructing objects or ideas

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to actions of combining or manipulating objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RT
    -0.80
    TPPStreamerBot
    -0.68
    RIP
    -0.67
    rance
    -0.64
    redits
    -0.64
     preceded
    -0.64
    mbuds
    -0.63
     Amph
    -0.63
    acons
    -0.63
    icter
    -0.62
    POSITIVE LOGITS
     marrow
    0.91
     scraps
    0.87
     seams
    0.85
     edges
    0.83
     tendon
    0.81
     itch
    0.77
     concessions
    0.76
     chops
    0.75
     bargain
    0.73
     havoc
    0.73
    Activations Density 0.293%

    No Known Activations