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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. 6-RES-JB
    11. 3727
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    Explanations

    phrases related to allowing or preventing something from happening

    oai_token-act-pair · gpt-3.5-turbo

    structured expressions of allowing or permitting actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.92
    senal
    -0.73
    ModLoader
    -0.71
    liest
    -0.70
    fitting
    -0.70
     Medals
    -0.68
    grounds
    -0.67
    ¯
    -0.65
     Annotations
    -0.63
    ãĥ¼ãĥ«
    -0.63
    POSITIVE LOGITS
     shine
    0.83
     slip
    0.83
     breathe
    0.81
     happen
    0.80
     expire
    0.75
     lapse
    0.75
     loose
    0.73
     dictate
    0.73
    erella
    0.70
     leash
    0.70
    Activations Density 0.102%

    No Known Activations