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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. 17715
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    Explanations

    financial or economic terms, particularly ones related to sub-categories

    oai_token-act-pair · gpt-3.5-turbo

    words related to subsidies

    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
    ILLE
    -0.78
     Qiao
    -0.74
     Muse
    -0.71
     Lauder
    -0.69
     Swiss
    -0.67
     Sachs
    -0.67
     Cardinal
    -0.67
     Zurich
    -0.66
     Bunny
    -0.66
     goodbye
    -0.66
    POSITIVE LOGITS
    missive
    1.44
    verting
    1.32
    mitter
    1.27
    atomic
    1.23
    sequent
    1.22
    sequently
    1.22
    continental
    1.19
    culture
    1.19
    species
    1.18
    ordinate
    1.17
    Activations Density 0.020%

    No Known Activations