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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. 3673
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    Explanations

    proper nouns or titles of individuals being addressed or speaking

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "address" and its variations in different contexts

    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
    ischer
    -0.71
     inhibitor
    -0.65
     foothold
    -0.64
    ©
    -0.63
    ritz
    -0.62
    aroo
    -0.61
     subp
    -0.59
    rat
    -0.59
     toler
    -0.59
     skim
    -0.58
    POSITIVE LOGITS
    xual
    0.83
     audiences
    0.73
    ural
    0.70
    ugu
    0.69
    urally
    0.68
    alla
    0.68
    ENTS
    0.67
     attendees
    0.67
     speeches
    0.67
    ĪĴ
    0.66
    Activations Density 0.040%

    No Known Activations