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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. 4742
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    Explanations

    words related to predictions of events or trends in the near future

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proximity in time, especially relating to future events

    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
    ilus
    -0.82
    CDC
    -0.77
    alian
    -0.76
    ICAN
    -0.74
     Bleach
    -0.71
    gae
    -0.70
    ilts
    -0.70
    uese
    -0.69
    STATE
    -0.69
    UL
    -0.69
    POSITIVE LOGITS
    sighted
    1.16
    shore
    0.84
     vicinity
    0.80
     proximity
    0.80
    ctic
    0.76
     misses
    0.76
     resemblance
    0.75
     mint
    0.75
    oreal
    0.72
    rontal
    0.72
    Activations Density 0.020%

    No Known Activations