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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. 4-RES-JB
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    Explanations

    proper names, particularly the name "Roland" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named Roland

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

    No Comments

    Negative Logits
    flu
    -0.69
    inventoryQuantity
    -0.67
    birth
    -0.65
    hazard
    -0.63
    alach
    -0.63
    rate
    -0.61
    ramid
    -0.61
     fluor
    -0.58
    India
    -0.58
    âĸĢ
    -0.57
    POSITIVE LOGITS
    gments
    0.94
    sson
    0.93
    atility
    0.88
    gements
    0.86
    gment
    0.84
     Roland
    0.84
    atile
    0.81
    esses
    0.81
    ists
    0.79
     rall
    0.79
    Activations Density 0.016%

    No Known Activations