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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. 3-RES-JB
    11. 8908
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    Explanations

    phrases related to conditions or outcomes that depend on specific circumstances

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that indicate variability based on different factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vision
    -0.80
     Niagara
    -0.74
    conduct
    -0.72
    jc
    -0.69
    talk
    -0.67
    roe
    -0.67
    posted
    -0.66
    IDA
    -0.66
    mberg
    -0.66
    agle
    -0.64
    POSITIVE LOGITS
    encies
    0.74
    hedral
    0.74
     arrang
    0.74
     veter
    0.73
     unden
    0.70
     engagements
    0.69
    indal
    0.68
     taxed
    0.68
     upon
    0.67
     undermin
    0.67
    Activations Density 0.012%

    No Known Activations