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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. 1-RES-JB
    11. 22930
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    Explanations

    language related to decreases and reductions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a reduction or decline in quantity or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.76
    ansas
    -0.72
    giving
    -0.69
    ocratic
    -0.67
    Sources
    -0.65
    wered
    -0.65
    lopp
    -0.65
    Phill
    -0.64
    nect
    -0.64
    istle
    -0.63
    POSITIVE LOGITS
     decrease
    0.98
     (-
    0.84
     decreased
    0.83
    âĶĢâĶĢ
    0.83
     decreases
    0.80
     decreasing
    0.79
     Decre
    0.79
     reduction
    0.78
    cember
    0.76
     inhibition
    0.75
    Activations Density 0.012%

    No Known Activations