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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. 4-RES-JB
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    Explanations

    the word "good" or related variations

    oai_token-act-pair · gpt-3.5-turbo

    the word "Good" in various contexts

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

    No Comments

    Negative Logits
    âĹ¼
    -0.90
    pent
    -0.79
    ptin
    -0.76
    ople
    -0.75
    76561
    -0.71
    ADRA
    -0.70
     Xan
    -0.70
    udic
    -0.68
    ktop
    -0.68
    oths
    -0.68
    POSITIVE LOGITS
    bye
    1.23
    reads
    1.13
    enough
    1.05
    ness
    0.98
     bye
    0.95
     Enough
    0.94
    luck
    0.92
    sword
    0.92
     Luck
    0.91
     luck
    0.90
    Activations Density 0.020%

    No Known Activations