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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. 9-RES-JB
    11. 20322
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    Explanations

    phrases related to societal or political impact at a larger scale

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate specific references to broader contexts or societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.64
    chuk
    -0.61
    itialized
    -0.60
    Russ
    -0.59
    Iterator
    -0.59
    okemon
    -0.59
    hin
    -0.58
    usb
    -0.58
    OTHER
    -0.58
    photo
    -0.57
    POSITIVE LOGITS
     least
    1.00
     stake
    0.98
     odds
    0.88
     variance
    0.84
    onement
    0.83
     home
    0.83
     times
    0.82
    roph
    0.81
    yp
    0.80
     risk
    0.79
    Activations Density 0.179%

    No Known Activations