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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. 1-RES-JB
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    Explanations

    phrases related to "mozzarella" and "moose."

    oai_token-act-pair · gpt-3.5-turbo

    references to moose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.77
    AMS
    -0.73
    é¾įåĸļ士
    -0.70
    idas
    -0.69
     Drawn
    -0.68
    sports
    -0.68
    lihood
    -0.67
    scl
    -0.65
    orius
    -0.65
    mania
    -0.65
    POSITIVE LOGITS
     mo
    0.98
    veland
    0.85
    ogly
    0.82
    ose
    0.80
    utes
    0.72
    aquin
    0.71
    aned
    0.69
     barg
    0.69
    omon
    0.68
    jo
    0.68
    Activations Density 0.005%

    No Known Activations