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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. 6-RES-JB
    11. 11891
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    Explanations

    dates in particular months and years

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific months and years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cot
    -0.72
     ausp
    -0.72
    awaru
    -0.71
    xus
    -0.71
    esc
    -0.70
    rikes
    -0.70
    eeper
    -0.67
    ETF
    -0.66
    terness
    -0.63
     tremend
    -0.63
    POSITIVE LOGITS
    acity
    0.71
    ÙĨ
    0.66
    ulia
    0.64
     Territory
    0.63
    Ability
    0.61
     Rac
    0.60
    ãĥł
    0.58
     Data
    0.57
    ÙĦ
    0.57
     Gram
    0.56
    Activations Density 0.069%

    No Known Activations