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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
    11. 16241
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    Explanations

    the name "Luc" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Luc"

    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
    landish
    -0.72
    WAYS
    -0.69
     splitting
    -0.66
     cessation
    -0.64
    ODUCT
    -0.64
    âĶģ
    -0.63
    dress
    -0.62
     LINE
    -0.62
    BOOK
    -0.61
     naïve
    -0.60
    POSITIVE LOGITS
    idity
    1.23
    rative
    1.16
    iano
    1.12
    ille
    1.08
    iane
    0.99
    ifer
    0.98
    inda
    0.98
    ious
    0.98
    iana
    0.92
    inia
    0.91
    Activations Density 0.034%

    No Known Activations