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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. 7-RES-JB
    11. 18660
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    Explanations

    addresses and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific locations and addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fixation
    -0.70
     ransom
    -0.68
     smoot
    -0.61
    20439
    -0.60
     infiltr
    -0.60
     profiles
    -0.60
     interrog
    -0.59
     prompt
    -0.59
     WATCHED
    -0.59
     chore
    -0.58
    POSITIVE LOGITS
     suburb
    0.99
     Lake
    0.94
     Lakes
    0.92
    stown
    0.92
     Springs
    0.91
     Township
    0.90
     northwest
    0.90
     Falls
    0.89
     Harbor
    0.88
    borough
    0.86
    Activations Density 0.655%

    No Known Activations