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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. 7162
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    Explanations

    proper nouns preceded by "Mr." with high specificity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the title "Mr." followed by a name

    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
     routed
    -0.75
     aides
    -0.71
     isolate
    -0.70
     volley
    -0.69
    usky
    -0.66
     milit
    -0.66
    uala
    -0.66
    legram
    -0.64
     predominantly
    -0.64
     fallout
    -0.64
    POSITIVE LOGITS
     Chips
    0.94
     Universe
    0.92
     Robot
    0.92
     Spock
    0.86
     Hyde
    0.83
     Claus
    0.82
     Fantastic
    0.82
     Incredible
    0.81
     Freeze
    0.80
     Potato
    0.78
    Activations Density 0.055%

    No Known Activations