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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. 4801
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    INDEX
    Explanations

    phrases related to important individuals or authorities, likely in news or media contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
    ãĥ¥
    -0.62
    =#
    -0.62
    process
    -0.62
    physical
    -0.59
     stabilization
    -0.59
    iphate
    -0.59
    ãĥ©
    -0.56
    atile
    -0.56
    eries
    -0.56
    aries
    -0.55
    POSITIVE LOGITS
     Jr
    1.13
     who
    1.13
     aka
    1.08
    who
    1.08
     whose
    1.02
     whom
    0.93
     meanwhile
    0.93
    whose
    0.92
     grandson
    0.86
     Sr
    0.85
    Activations Density 0.196%

    No Known Activations