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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11032
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    Explanations

    mentions of the word "Swift" with various numerical activations representing different contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Taylor Swift

    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
    terior
    -0.80
    abases
    -0.78
    berra
    -0.73
    cheon
    -0.73
    asher
    -0.73
    irin
    -0.73
    itial
    -0.72
    yrinth
    -0.72
    awatts
    -0.71
    ulhu
    -0.70
    POSITIVE LOGITS
     Swift
    0.75
     Swim
    0.72
    strike
    0.72
    plain
    0.69
    song
    0.69
     Sparrow
    0.68
    flake
    0.67
    KEN
    0.67
    ipeg
    0.66
    heart
    0.65
    Activations Density 0.040%

    No Known Activations