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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. 6-RES-JB
    11. 7548
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    Explanations

    phrases indicating similarity or accuracy in comparison to a standard

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate precision or certainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERAL
    -0.83
    rift
    -0.75
    aman
    -0.73
    olyn
    -0.72
    agency
    -0.69
    omed
    -0.68
    tein
    -0.66
    ems
    -0.65
    ulator
    -0.64
     Vaj
    -0.64
    POSITIVE LOGITS
     appe
    0.75
     spoiled
    0.68
     sailing
    0.68
     brill
    0.67
     shy
    0.67
     medd
    0.66
     bothered
    0.66
     pleasant
    0.65
     bother
    0.65
     convent
    0.64
    Activations Density 0.016%

    No Known Activations