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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. 9-RES-JB
    11. 4904
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to boards and board members

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olson
    -0.73
     Hoover
    -0.68
    ously
    -0.67
     bloom
    -0.66
     Rover
    -0.66
     Flask
    -0.66
    ophobic
    -0.65
     Revel
    -0.65
     Ying
    -0.64
    sson
    -0.63
    POSITIVE LOGITS
    walk
    1.44
    room
    1.16
    rooms
    1.14
    members
    1.08
    wal
    1.06
    chair
    1.01
    member
    0.99
    board
    0.93
    chairs
    0.92
    holder
    0.89
    Activations Density 0.051%

    No Known Activations