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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. 22836
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    INDEX
    Explanations

    prepositions followed by a quantity or a certain attribute

    oai_token-act-pair · gpt-3.5-turbo

    phrases that specify types or categories

    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
    gor
    -0.84
    ï¸
    -0.81
    dn
    -0.81
    ĸļ
    -0.80
    heid
    -0.79
    ruary
    -0.77
    idelines
    -0.76
    frog
    -0.76
    ãĤ´
    -0.76
    ajor
    -0.75
    POSITIVE LOGITS
     thing
    1.31
     person
    0.95
     stuff
    0.93
     crap
    0.91
     things
    0.90
     mischief
    0.90
     guy
    0.87
     nonsense
    0.87
     luck
    0.85
     behavior
    0.85
    Activations Density 0.064%

    No Known Activations