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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. 13102
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    Explanations

    expressions hinting at future events or developments

    oai_token-act-pair · gpt-3.5-turbo

    references to future events or predictions

    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
    ItemTracker
    -0.63
    typ
    -0.59
     sqor
    -0.58
    attering
    -0.57
     brist
    -0.56
     tiss
    -0.55
    pmwiki
    -0.54
    quickShipAvailable
    -0.54
     repr
    -0.54
     To
    -0.54
    POSITIVE LOGITS
     Ratio
    0.70
    ISE
    0.63
    ach
    0.61
    dule
    0.60
    uke
    0.59
     ratio
    0.59
    VIDIA
    0.58
    ENGTH
    0.57
    oyle
    0.57
    agine
    0.56
    Activations Density 0.538%

    No Known Activations