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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. 3-RES-JB
    11. 24195
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    INDEX
    Explanations

    information related to research subjects and their actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to research participants in a study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Genie
    -0.80
    IELD
    -0.75
    GBT
    -0.75
    ATIONAL
    -0.70
    GGGG
    -0.69
    TI
    -0.69
    SOURCE
    -0.68
    ERROR
    -0.68
    neau
    -0.66
    âĺħâĺħ
    -0.64
    POSITIVE LOGITS
     Subjects
    1.09
    ively
    1.08
    matter
    1.04
    manship
    0.98
    hip
    0.96
     subjects
    0.95
    userc
    0.83
    etter
    0.81
    ĸļ
    0.81
    ivities
    0.81
    Activations Density 0.010%

    No Known Activations