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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. 7224
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    Explanations

    names of a specific individual, likely related to sports

    oai_token-act-pair · gpt-3.5-turbo

    personal pronouns and related forms of address

    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
     OWN
    -0.67
    å¸
    -0.59
    esses
    -0.58
     liking
    -0.56
    ERAL
    -0.56
     deception
    -0.56
     itch
    -0.56
     karma
    -0.56
    inished
    -0.55
    ancies
    -0.55
    POSITIVE LOGITS
    ña
    1.03
    lda
    1.02
    ño
    1.01
    leon
    0.94
    zel
    0.93
    jo
    0.92
    gi
    0.91
    ppe
    0.90
    gan
    0.90
    lys
    0.89
    Activations Density 0.106%

    No Known Activations