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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. 23755
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    INDEX
    Explanations

    phrases indicating numerical rankings or positions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote rankings or priorities, especially relating to numbers

    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
    rador
    -0.67
    Materials
    -0.65
    IAL
    -0.61
    ILLE
    -0.61
    ossier
    -0.61
    habi
    -0.61
     otherwise
    -0.60
     Shroud
    -0.59
     franc
    -0.59
    ALD
    -0.58
    POSITIVE LOGITS
    plates
    1.03
     crunch
    0.93
    plate
    0.90
    ener
    0.79
     plates
    0.78
    enance
    0.77
     Ones
    0.76
    encies
    0.72
     theoret
    0.72
    heads
    0.71
    Activations Density 0.049%

    No Known Activations