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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. 4-RES-JB
    11. 20015
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    Explanations

    the word "Koch" at varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character sequence "och"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REC
    -0.68
     permission
    -0.59
     Mald
    -0.58
    ership
    -0.58
     DMV
    -0.58
     FedEx
    -0.58
    AMI
    -0.58
     Yel
    -0.57
    yards
    -0.56
     visitation
    -0.56
    POSITIVE LOGITS
    orus
    1.13
    rane
    1.06
    och
    0.99
    lear
    0.99
    ocolate
    0.97
    rome
    0.96
    ilib
    0.93
    ocobo
    0.92
    schild
    0.91
    anski
    0.90
    Activations Density 0.008%

    No Known Activations