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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. 19576
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    Explanations

    financial numbers and data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to percentages and prices

    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
    ²¾
    -0.86
    itol
    -0.72
    ctions
    -0.66
    uments
    -0.64
    iral
    -0.64
    ¤
    -0.63
    THING
    -0.60
    ctor
    -0.58
    sburg
    -0.58
    ende
    -0.58
    POSITIVE LOGITS
     compared
    1.12
     whereas
    1.04
     according
    0.98
     implying
    0.95
     surpass
    0.92
     excluding
    0.86
     marking
    0.85
     indicating
    0.85
     meaning
    0.83
    according
    0.82
    Activations Density 0.168%

    No Known Activations