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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. 4-RES-JB
    11. 12051
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    Explanations

    years or dates, specifically focusing on the year 1971 and related years

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years, particularly 1971

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

    No Comments

    Negative Logits
    tro
    -0.81
    Edge
    -0.80
    BOOK
    -0.74
    plan
    -0.72
    pron
    -0.71
    Storage
    -0.70
    vere
    -0.69
    robe
    -0.68
     entirety
    -0.68
    cho
    -0.66
    POSITIVE LOGITS
    ĸļ
    0.75
     onwards
    0.74
     ILCS
    0.74
     pes
    0.70
     onward
    0.70
    1968
    0.70
    rero
    0.67
    1966
    0.67
    å¹
    0.66
     "$:/
    0.65
    Activations Density 0.017%

    No Known Activations