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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. 3-RES-JB
    11. 12601
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    Explanations

    references to printed materials like pamphlets and booklets

    oai_token-act-pair · gpt-3.5-turbo

    references to informational documents and printed materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Eth
    -0.68
    vid
    -0.67
    esse
    -0.64
    engeance
    -0.63
    alez
    -0.63
    cept
    -0.62
    haul
    -0.62
    olly
    -0.62
    forces
    -0.62
    shore
    -0.61
    POSITIVE LOGITS
     pamphlet
    1.14
     pamph
    1.13
     broch
    1.00
     booklet
    0.97
     leaflets
    0.96
     flyer
    0.92
    DragonMagazine
    0.83
    lets
    0.80
    lete
    0.76
     Niet
    0.75
    Activations Density 0.025%

    No Known Activations