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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
    11. 1488
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    INDEX
    Explanations

    descriptions of people's feelings or reactions to situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing strong negative opinions or disputes

    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
     ..."
    -0.52
    )."
    -0.51
    .</
    -0.51
     thereof
    -0.50
     thereto
    -0.50
     theirs
    -0.49
    .","
    -0.49
    Interstitial
    -0.48
    })
    -0.46
    )</
    -0.45
    POSITIVE LOGITS
     meanwhile
    0.62
    ibliography
    0.53
    zsche
    0.48
     nutshell
    0.48
     Explan
    0.48
    ccording
    0.47
     Bris
    0.46
     FANTASY
    0.46
    resa
    0.45
     Background
    0.45
    Activations Density 2.505%

    No Known Activations