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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
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    Explanations

    references to a specific person named Herman

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Herman" in various contexts

    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
     Thumbnails
    -0.75
    yrim
    -0.72
    illary
    -0.68
    ulhu
    -0.67
    anooga
    -0.67
    ertodd
    -0.65
    oward
    -0.65
    uren
    -0.63
    izoph
    -0.62
    ĵĺ
    -0.62
    POSITIVE LOGITS
    n
    1.13
    nant
    0.90
    tz
    0.90
    thal
    0.86
    ns
    0.85
    nis
    0.85
    SHIP
    0.83
    maid
    0.81
    ni
    0.81
    nic
    0.81
    Activations Density 0.129%

    No Known Activations