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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. 8-RES-JB
    11. 22640
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    Explanations

    phrases related to significant or noteworthy events or moments

    oai_token-act-pair · gpt-3.5-turbo

    references to events or special moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hemat
    -0.79
    cott
    -0.72
    utenberg
    -0.72
    acid
    -0.67
    boa
    -0.66
    gebra
    -0.66
    haul
    -0.65
    otine
    -0.63
    haar
    -0.62
    sis
    -0.61
    POSITIVE LOGITS
    theless
    1.00
     occasions
    0.86
    ful
    0.77
    cific
    0.76
    illes
    0.76
    aneous
    0.74
    rences
    0.74
     occasion
    0.74
    ries
    0.74
    orial
    0.71
    Activations Density 0.057%

    No Known Activations