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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. 1-RES-JB
    11. 851
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    Explanations

    capitalized acronyms with 2 or 3 letters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or topics denoted by the acronym "OT"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fixme
    -0.65
    ĸļ
    -0.62
     guard
    -0.61
    gow
    -0.61
     Rath
    -0.60
    terday
    -0.59
     sinks
    -0.58
    kers
    -0.58
     Keen
    -0.58
    anwhile
    -0.57
    POSITIVE LOGITS
    OT
    1.38
    OGR
    1.15
    OTS
    1.01
    assium
    1.00
    ELY
    0.98
    OC
    0.97
    ICAN
    0.95
    OTE
    0.93
    ALLY
    0.92
    AS
    0.92
    Activations Density 0.006%

    No Known Activations