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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. 1-RES-JB
    11. 6589
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    Explanations

    verbs related to capturing or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    words associated with capturing or obtaining something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Princ
    -0.67
    Beg
    -0.62
    ______
    -0.59
     funeral
    -0.58
    IDENT
    -0.58
     CGI
    -0.58
     FEMA
    -0.57
     backwards
    -0.57
     Savior
    -0.57
     constant
    -0.56
    POSITIVE LOGITS
     nab
    1.47
    opa
    0.95
    rys
    0.89
    ilant
    0.88
    oots
    0.88
    bing
    0.87
    ila
    0.87
    icals
    0.86
    rill
    0.85
    bed
    0.85
    Activations Density 0.008%

    No Known Activations