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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

    person names, particularly those containing the syllable "Rah"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Rah" and variations of it

    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
     Crescent
    -0.79
     Samoa
    -0.78
     Constantin
    -0.69
     Izan
    -0.66
     warrants
    -0.66
     Jericho
    -0.65
    hedral
    -0.65
     Pixie
    -0.64
     possessions
    -0.64
     Cyprus
    -0.64
    POSITIVE LOGITS
     Rah
    0.85
    Rah
    0.85
    mund
    0.84
    von
    0.83
    jit
    0.83
    irez
    0.83
    mone
    0.82
    amas
    0.81
    bek
    0.80
    ulk
    0.78
    Activations Density 0.050%

    No Known Activations