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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. 10-RES-JB
    11. 6910
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    Explanations

    specific locations or groups of people, especially within a broader category or context

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" and its various contexts throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    weather
    -0.65
    yth
    -0.65
     WITHOUT
    -0.61
    adder
    -0.58
     reckoned
    -0.55
    lessness
    -0.54
    76561
    -0.53
    ãĤĴ
    -0.52
    tal
    -0.51
     BALL
    -0.51
    POSITIVE LOGITS
     particular
    1.94
     addition
    1.11
    clusions
    1.10
     favor
    1.02
     lieu
    0.99
    efficiency
    0.98
     fact
    0.98
    versely
    0.97
     turn
    0.96
     conjunction
    0.95
    Activations Density 0.207%

    No Known Activations