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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. 9-RES-JB
    11. 18462
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    Explanations

    events or occurrences happening at a specific time or location

    oai_token-act-pair · gpt-3.5-turbo

    references to events taking place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nor
    -0.72
    aldo
    -0.67
    affle
    -0.67
    isle
    -0.66
    username
    -0.66
    acked
    -0.64
    definition
    -0.64
    eson
    -0.63
    involved
    -0.62
    iscovery
    -0.62
    POSITIVE LOGITS
     concurrently
    0.92
     amidst
    0.88
     indoors
    0.88
     outdoors
    0.87
    actionDate
    0.84
     during
    0.83
     inside
    0.83
     atop
    0.81
    uate
    0.76
     between
    0.76
    Activations Density 0.055%

    No Known Activations