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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. 8-RES-JB
    11. 933
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    Explanations

    phrases related to authoritative decisions or commands

    oai_token-act-pair · gpt-3.5-turbo

    terms related to certain types of activities and attributes, particularly those ending in specific suffixes such as "rac", "ran", and "im"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steen
    -0.74
     Moss
    -0.73
     Philippe
    -0.69
     Tycoon
    -0.68
     Genie
    -0.65
    Pierre
    -0.63
     Survivors
    -0.61
     Tracks
    -0.60
    Angelo
    -0.60
     Suz
    -0.59
    POSITIVE LOGITS
    inarily
    0.87
    oral
    0.80
    olic
    0.79
    lass
    0.77
    racted
    0.76
    ormal
    0.74
    paragraph
    0.74
    poral
    0.73
    imes
    0.72
    olated
    0.72
    Activations Density 0.087%

    No Known Activations