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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. 6-RES-JB
    11. 14987
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    Explanations

    phrases related to investigations or inquiries

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "inquire" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Depend
    -0.85
    berman
    -0.69
    perm
    -0.63
     Kimber
    -0.61
    Cod
    -0.60
     Ridley
    -0.59
    AFTA
    -0.59
     Nadu
    -0.59
     Solid
    -0.58
    Guest
    -0.58
    POSITIVE LOGITS
    iries
    1.16
     Inqu
    1.12
     inquire
    1.09
    iry
    1.07
    isitions
    1.05
    isition
    0.98
     inquired
    0.94
    iring
    0.89
    naires
    0.87
     inqu
    0.87
    Activations Density 0.026%

    No Known Activations