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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. 5145
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    INDEX
    Explanations

    the brand name "Pro"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Pro" brand or series in various contexts

    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
     straw
    -0.77
    ãĤ¼ãĤ¦ãĤ¹
    -0.77
    owship
    -0.76
     halls
    -0.75
    assetsadobe
    -0.73
    DERR
    -0.66
    ibrary
    -0.63
    gow
    -0.63
     needles
    -0.63
     Dise
    -0.63
    POSITIVE LOGITS
    digy
    1.48
    secution
    1.22
    gression
    1.22
    posal
    1.22
    verbs
    1.21
    clamation
    1.12
    blems
    1.09
    ceed
    1.07
    poses
    1.05
    hibited
    1.03
    Activations Density 0.018%

    No Known Activations