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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. 13107
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    INDEX
    Explanations

    phrases related to actions that are likely to have significant consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of negation or denial within statements

    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
     Belg
    -0.79
     dispers
    -0.68
     handshake
    -0.68
     dos
    -0.67
     shack
    -0.66
     machine
    -0.66
     confinement
    -0.65
    weights
    -0.65
     Faust
    -0.65
     playbook
    -0.65
    POSITIVE LOGITS
    ª
    1.37
    Ń
    1.29
    į
    1.26
    Į
    1.23
    ¹
    1.23
    ¤
    1.22
    ¡
    1.22
    Ī
    1.18
    ¬
    1.18
    £
    1.16
    Activations Density 0.116%

    No Known Activations