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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. 21531
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    Explanations

    phrases related to obtaining, acquiring, or using an object or tool

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "one" in various 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
    ooks
    -0.70
    ãĤ¬
    -0.69
    osponsors
    -0.68
    inity
    -0.65
    ories
    -0.65
    sav
    -0.64
    DEF
    -0.63
    grounds
    -0.63
    inders
    -0.63
    asions
    -0.60
    POSITIVE LOGITS
     hundred
    1.03
     Hundred
    1.00
     thousand
    0.91
     thing
    0.86
     million
    0.82
     particular
    0.80
     dimensional
    0.77
     ounce
    0.76
    Shot
    0.75
     Thousand
    0.75
    Activations Density 0.108%

    No Known Activations