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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. 9-RES-JB
    11. 23885
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    Explanations

    pronouns and verbs related to transferring or manipulating objects

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and their usage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anticipated
    -0.57
     Polk
    -0.57
    gest
    -0.56
     Herrera
    -0.55
     Gors
    -0.55
     Worst
    -0.54
    ger
    -0.53
     understatement
    -0.52
     Offense
    -0.52
    noticed
    -0.52
    POSITIVE LOGITS
    alian
    1.08
     accordingly
    0.93
    anwhile
    0.91
    atic
    0.87
    unes
    0.81
    rification
    0.78
     appropriately
    0.72
     onto
    0.71
     wherever
    0.71
    atically
    0.70
    Activations Density 0.171%

    No Known Activations