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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. 7-RES-JB
    11. 3661
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    INDEX
    Explanations

    phrases related to sports analysis

    oai_token-act-pair · gpt-3.5-turbo

    indicators of uncertainty or ambiguity regarding situations or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ®
    -0.88
     printers
    -0.73
     printer
    -0.73
     photoc
    -0.72
     </
    -0.71
    urat
    -0.71
     compulsory
    -0.70
     (=
    -0.70
     LAW
    -0.69
     \"
    -0.69
    POSITIVE LOGITS
     offseason
    1.36
    juries
    1.21
     rookies
    1.18
     rookie
    1.16
     preseason
    1.14
     Manziel
    1.11
     Bucs
    1.08
     playoff
    1.08
     roster
    1.07
     Rookie
    1.06
    Activations Density 0.955%

    No Known Activations