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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. 18722
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    Explanations

    negative evaluations or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors and terms related to failure or obstacles

    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
    uana
    -0.78
    tains
    -0.77
    glas
    -0.74
    £ı
    -0.71
    orney
    -0.69
    ŃĶ
    -0.69
    ebus
    -0.66
    rouse
    -0.64
    POL
    -0.63
    etch
    -0.63
    POSITIVE LOGITS
    luster
    0.91
     miser
    0.75
     wasting
    0.69
     bog
    0.68
    ãĤ¹ãĥĪ
    0.68
     underestimate
    0.66
     ide
    0.66
     underest
    0.64
     shy
    0.62
     waste
    0.62
    Activations Density 1.070%

    No Known Activations