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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. 15576
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    Explanations

    dates in the format of month and year

    oai_token-act-pair · gpt-3.5-turbo

    dates and associated numerical values

    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
    tumblr
    -0.80
    ngth
    -0.79
    estern
    -0.76
     facets
    -0.72
     ponds
    -0.72
    urious
    -0.69
    avorite
    -0.68
    oresc
    -0.66
    ascript
    -0.63
    luster
    -0.63
    POSITIVE LOGITS
    aez
    0.62
     Inventory
    0.61
     "$:/
    0.60
    LY
    0.60
     Secondary
    0.59
    ledge
    0.59
    ledged
    0.58
    ISA
    0.58
    Label
    0.57
    bush
    0.57
    Activations Density 0.162%

    No Known Activations