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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. 3773
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    Explanations

    phrases related to fast-paced action or intense situations

    oai_token-act-pair · gpt-3.5-turbo

    punctuated phrases and transitions that suggest a dynamic narrative or action

    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
    OND
    -0.74
    ĸ
    -0.71
    endment
    -0.71
    pec
    -0.71
    emaker
    -0.71
    venth
    -0.71
    ħĭ
    -0.70
    iple
    -0.68
    abouts
    -0.66
    ´
    -0.66
    POSITIVE LOGITS
     culminating
    0.98
     showcasing
    0.95
     featuring
    0.84
     including
    0.82
     transforming
    0.81
     albeit
    0.79
     respectively
    0.79
     indulge
    0.79
     aka
    0.77
     bask
    0.77
    Activations Density 0.646%

    No Known Activations