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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. 13166
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    Explanations

    words related to file attachments or associated actions like adding, detaching, or managing them

    oai_token-act-pair · gpt-3.5-turbo

    references to attachments and the act of attaching or detaching items

    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
    Cola
    -0.69
    $$$$
    -0.67
    externalActionCode
    -0.66
    ;;;;;;;;;;;;
    -0.65
    FTWARE
    -0.64
    java
    -0.63
     Elaine
    -0.62
    gling
    -0.62
    cloth
    -0.62
     Giuliani
    -0.61
    POSITIVE LOGITS
     attachments
    1.00
     attachment
    0.98
    achment
    0.89
    Attach
    0.84
     attach
    0.83
    ments
    0.83
    rity
    0.79
     gratification
    0.78
     thereto
    0.77
    rator
    0.76
    Activations Density 0.015%

    No Known Activations