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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. 4498
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    INDEX
    Explanations

    words related to causation or attribution

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "due," indicating reasons or causes for various events

    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
    =-=-=-=-=-=-=-=-
    -0.76
    IDER
    -0.70
    arest
    -0.68
    anon
    -0.67
    ++)
    -0.67
    agate
    -0.66
    asp
    -0.65
    Es
    -0.65
    OSS
    -0.65
     Sheep
    -0.64
    POSITIVE LOGITS
     diligence
    0.93
    */(
    0.87
    giving
    0.80
    gers
    0.77
     cancell
    0.76
    lling
    0.73
     dilig
    0.71
    endment
    0.69
    laws
    0.69
    ration
    0.69
    Activations Density 0.021%

    No Known Activations