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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. 10-RES-JB
    11. 7247
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    Explanations

    references to outdoor locations or environments

    oai_token-act-pair · gpt-3.5-turbo

    references to external factors or influences affecting a situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cise
    -0.70
    ï¸
    -0.66
    :,
    -0.66
    asma
    -0.65
    !:
    -0.65
    .:
    -0.64
    :(
    -0.63
     Levine
    -0.61
    ':
    -0.59
    thia
    -0.58
    POSITIVE LOGITS
     exists
    0.97
     exceeds
    0.88
     happens
    0.88
    pires
    0.87
     might
    0.87
     applies
    0.86
     would
    0.86
     could
    0.86
     survives
    0.86
     existed
    0.86
    Activations Density 0.812%

    No Known Activations