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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. 9-RES-JB
    11. 13162
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    Explanations

    phrases related to discussing or mentioning a particular topic

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "talk" or related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kie
    -0.83
    OGR
    -0.76
    SPONSORED
    -0.72
    é¾
    -0.70
    cue
    -0.68
    Written
    -0.68
    vous
    -0.67
     CLSID
    -0.67
    ä½ľ
    -0.66
    rehens
    -0.66
    POSITIVE LOGITS
     how
    1.08
     wanting
    1.00
     reforming
    0.99
     improving
    0.95
     needing
    0.93
     preserving
    0.90
     overcoming
    0.89
     topics
    0.82
     stopping
    0.81
     abol
    0.81
    Activations Density 0.140%

    No Known Activations