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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. 1-RES-JB
    11. 384
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    Explanations

    any references to the number five

    oai_token-act-pair · gpt-3.5-turbo

    references to the number five

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iah
    -0.69
    ller
    -0.68
    eus
    -0.63
    Topic
    -0.63
     distur
    -0.61
    notice
    -0.60
    IAS
    -0.60
     Happ
    -0.58
    reference
    -0.58
    Fed
    -0.58
    POSITIVE LOGITS
    teen
    1.35
    teenth
    1.32
    Thirty
    1.23
     hundred
    1.11
    aciously
    1.08
    eenth
    1.06
    fif
    0.98
    fold
    0.97
    een
    0.96
     thousand
    0.92
    Activations Density 0.026%

    No Known Activations