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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. 7724
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    Explanations

    specific phrases used to address the audience and provide instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating delivery or provision of information

    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
    cock
    -0.63
    ibling
    -0.58
    itus
    -0.55
    itiveness
    -0.55
    dom
    -0.54
    uliffe
    -0.53
    oris
    -0.51
    anooga
    -0.51
    wolves
    -0.51
    antz
    -0.51
    POSITIVE LOGITS
     ILCS
    0.70
     by
    0.57
    asury
    0.57
     quantities
    0.56
     manner
    0.55
     Airl
    0.52
     econom
    0.52
    \<
    0.51
     Pwr
    0.51
    alysed
    0.49
    Activations Density 1.114%

    No Known Activations