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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. 5827
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    Explanations

    mentions or discussions related to harm or potential harm

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of harm and its implications

    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
    KER
    -0.69
     Reloaded
    -0.65
    ARCH
    -0.64
     Currency
    -0.62
     NX
    -0.61
     loader
    -0.61
     Bust
    -0.61
     liner
    -0.60
     Pass
    -0.60
     currency
    -0.59
    POSITIVE LOGITS
    onies
    1.44
    lessly
    1.34
    lessness
    1.04
     inflicted
    1.00
    fulness
    0.93
    ful
    0.92
    fully
    0.91
    oney
    0.84
    onica
    0.80
    azard
    0.80
    Activations Density 0.045%

    No Known Activations