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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. 2-RES-JB
    11. 21465
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    Explanations

    words related to competitions, events, or qualifications such as "qualifier" and "fundraiser"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualifications and fundraising

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lyak
    -0.78
    ipt
    -0.73
    ews
    -0.72
    scl
    -0.72
     reconc
    -0.71
    ciating
    -0.70
    communications
    -0.69
    ills
    -0.69
    ynski
    -0.69
    ives
    -0.68
    POSITIVE LOGITS
    ifiers
    0.86
     qualifier
    0.85
    xual
    0.82
    kick
    0.77
    ifier
    0.77
    alkyrie
    0.68
    glers
    0.68
     sidx
    0.67
    atu
    0.67
    uates
    0.67
    Activations Density 0.012%

    No Known Activations