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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. 11399
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    Explanations

    decimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number '0' and its variations in decimal or percentage form

    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
    erity
    -0.90
    Lago
    -0.72
    lehem
    -0.70
    agna
    -0.68
    ItemImage
    -0.65
     lav
    -0.65
     conduc
    -0.63
    UAL
    -0.61
    Frames
    -0.61
    arest
    -0.60
    POSITIVE LOGITS
    xff
    1.01
    resents
    0.86
    x
    0.76
    ãĥ³
    0.73
    MQ
    0.71
    644
    0.71
    ohm
    0.71
    xes
    0.71
    oldemort
    0.70
    uden
    0.69
    Activations Density 0.025%

    No Known Activations