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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. 1-RES-JB
    11. 3550
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    Explanations

    information related to minerals and medical conditions like iron deficiency and collagen content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to calcium and its biological significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ility
    -0.81
    alez
    -0.80
    orean
    -0.75
    ĸ
    -0.75
    dayName
    -0.75
    onz
    -0.74
     Cosponsors
    -0.74
    orea
    -0.74
    ombs
    -0.73
    µ
    -0.73
    POSITIVE LOGITS
     calcium
    0.94
    eneg
    0.87
     Sak
    0.83
    llular
    0.81
    ãģ®éŃĶ
    0.72
     chloride
    0.71
     phosphate
    0.70
     phosph
    0.70
    Bone
    0.69
     distingu
    0.68
    Activations Density 0.023%

    No Known Activations