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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. 11-RES-JB
    11. 1507
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    INDEX
    Explanations

    specific prepositions 'in'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sburgh
    -0.62
    NOW
    -0.60
    ç¥ŀ
    -0.58
    ]}
    -0.57
     savior
    -0.55
    ourney
    -0.53
     TBA
    -0.53
    agonist
    -0.52
     DISTRICT
    -0.52
    ©¶æ
    -0.52
    POSITIVE LOGITS
    clud
    1.27
     contrast
    1.21
     particular
    1.18
     fact
    1.17
     addition
    1.15
     spite
    1.11
    asm
    1.05
     which
    1.05
    cluded
    0.99
     essence
    0.98
    Activations Density 0.104%

    No Known Activations