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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. 11-RES-JB
    11. 22028
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    Explanations

    personal pronouns referring to individuals or groups, and verbs related to discovering or tackling problems

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and challenges faced in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.74
    rity
    -0.66
     donation
    -0.66
    phasis
    -0.66
    rary
    -0.63
    inational
    -0.62
    Winged
    -0.61
    nesty
    -0.59
     bonuses
    -0.59
    Reviewer
    -0.58
    POSITIVE LOGITS
     faced
    1.28
     facing
    1.10
     confronts
    1.09
     encountered
    1.09
     solve
    1.08
     encount
    1.07
     encounter
    1.07
     face
    1.07
     grapp
    1.07
     solved
    1.06
    Activations Density 0.171%

    No Known Activations