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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. 17329
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    Explanations

    phrases related to events or locations involving the abbreviation "Cal" followed by a varying number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Cal2"

    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
     Cherokee
    -0.66
     Lans
    -0.64
    schild
    -0.63
    ãģį
    -0.62
     nests
    -0.61
    erness
    -0.60
     Authorization
    -0.59
     lowly
    -0.58
     Wem
    -0.58
    ovych
    -0.58
    POSITIVE LOGITS
    houn
    1.18
    iphate
    1.18
    endars
    1.18
    culus
    1.13
    culation
    1.10
    cium
    1.09
    ibr
    1.07
    gary
    1.06
    iber
    1.02
    endar
    1.02
    Activations Density 0.031%

    No Known Activations