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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. 22461
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    Explanations

    phrases related to significant or dramatic events or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "epic" in various contexts

    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
    earcher
    -0.81
    arten
    -0.74
    eem
    -0.72
    xual
    -0.72
    unte
    -0.68
    pring
    -0.68
    ividual
    -0.67
    aah
    -0.67
    gemony
    -0.65
    say
    -0.64
    POSITIVE LOGITS
    enter
    1.27
     proportions
    1.00
     epic
    0.98
     poem
    0.87
    arious
    0.84
    ulously
    0.79
     tracts
    0.76
     earthqu
    0.75
     tale
    0.73
    urious
    0.72
    Activations Density 0.009%

    No Known Activations