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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14950
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    Explanations

    words related to names and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or characters, particularly related to a notable figure or term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.79
    bread
    -0.64
    idious
    -0.63
    ulators
    -0.62
     suppress
    -0.62
    utterstock
    -0.62
    orial
    -0.62
    ifier
    -0.62
    hander
    -0.62
    itious
    -0.61
    POSITIVE LOGITS
    ø
    1.19
    å
    0.95
    ¶
    0.88
     Andersen
    0.87
    hett
    0.87
    ĨĴ
    0.84
    ĺ
    0.84
    æ
    0.83
    borg
    0.83
    Å¡
    0.81
    Activations Density 0.008%

    No Known Activations