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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. 828
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    Explanations

    names of locations or entities with 'Brook' in them

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Brook" or related terms referring to specific locations or entities associated with it

    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
    arily
    -0.77
    UME
    -0.73
    olkien
    -0.73
     lockout
    -0.69
     conspicuous
    -0.69
     inflated
    -0.67
     conclud
    -0.66
    ãĥīãĥ©
    -0.64
     restraining
    -0.64
     hurry
    -0.64
    POSITIVE LOGITS
    haven
    1.49
    lyn
    1.15
    er
    1.11
    brook
    1.04
    Brook
    0.99
    dale
    0.98
    combe
    0.98
    ly
    0.98
    side
    0.96
    lands
    0.96
    Activations Density 0.028%

    No Known Activations