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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1507
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    INDEX
    Explanations

    phrases indicating requests or commands

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions or commands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arthed
    -0.86
     Additional
    -0.72
    umbn
    -0.71
    ounter
    -0.69
    entials
    -0.65
    è¦ļéĨĴ
    -0.65
    atana
    -0.64
    cedented
    -0.64
    "},"
    -0.64
    ]),
    -0.62
    POSITIVE LOGITS
     kidding
    1.11
     gotta
    0.93
     ain
    0.93
    ?!
    0.89
     fuckin
    0.86
    hhhh
    0.82
     gonna
    0.81
    ahah
    0.81
     yeah
    0.80
    cknow
    0.80
    Activations Density 0.364%

    No Known Activations