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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. 3-RES-JB
    11. 18189
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    Explanations

    mention of superlatives, particularly "largest."

    oai_token-act-pair · gpt-3.5-turbo

    references to entities identified as the "largest" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.76
    earth
    -0.75
    doctor
    -0.74
    amber
    -0.73
    jad
    -0.72
    bal
    -0.70
    vor
    -0.70
    ulton
    -0.69
    icing
    -0.69
    istry
    -0.68
    POSITIVE LOGITS
    gest
    0.87
     largest
    0.83
     intestine
    0.75
     profitable
    0.75
     shareholder
    0.75
     extant
    0.74
     unsolved
    0.74
     scale
    0.72
     (>
    0.71
     longest
    0.70
    Activations Density 0.022%

    No Known Activations