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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. 8-RES-JB
    11. 13010
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    Explanations

    words related to subsequent events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to sequences of events or consequences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    gged
    -0.84
    tics
    -0.81
    zen
    -0.69
    nut
    -0.68
    tic
    -0.68
    yers
    -0.67
    se
    -0.67
    YD
    -0.66
    ingers
    -0.65
    sted
    -0.64
    POSITIVE LOGITS
     generations
    0.80
     pandemonium
    0.73
     fallout
    0.73
     chaos
    0.71
     disposition
    0.68
     confusion
    0.68
     crop
    0.68
     haze
    0.67
     wave
    0.67
     waves
    0.66
    Activations Density 0.058%

    No Known Activations