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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. 10-RES-JB
    11. 6225
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    INDEX
    Explanations

    phrases related to actions or decisions taken or not taken

    oai_token-act-pair · gpt-3.5-turbo

    negative constructions indicating avoidance or lack of action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.87
     Balanced
    -0.72
     defaults
    -0.69
    ¿½
    -0.69
     Unlimited
    -0.67
    soType
    -0.67
    ©¶æ
    -0.67
     Infinite
    -0.66
    universal
    -0.66
    \\\\\\\\
    -0.65
    POSITIVE LOGITS
     bother
    1.11
     bothering
    1.10
     bothered
    1.00
     dare
    0.96
     noticing
    0.95
     bud
    0.93
     disturb
    0.92
     notice
    0.92
     slightest
    0.91
     alert
    0.91
    Activations Density 0.306%

    No Known Activations