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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. 24165
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    Explanations

    phrases related to justification or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of "sake" or purpose in various contexts

    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
     campuses
    -0.67
     locations
    -0.64
     Lyme
    -0.63
     helicop
    -0.63
     infiltrated
    -0.63
    thumbnails
    -0.61
     autoimmune
    -0.60
     seeded
    -0.60
     densely
    -0.60
     scanned
    -0.59
    POSITIVE LOGITS
     sake
    0.96
    atsu
    0.90
    rifice
    0.89
    peria
    0.89
    urities
    0.88
    olicy
    0.88
    imei
    0.86
    é¾įå
    0.84
    uin
    0.82
    irin
    0.80
    Activations Density 0.008%

    No Known Activations