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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. 16072
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    webpage elements often associated with actions or functionalities like viewing, downloading, installing, and accessing content

    oai_token-act-pair · gpt-3.5-turbo

    actions and instructions related to viewing and downloading content

    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
    etheless
    -0.61
     interfered
    -0.59
    dq
    -0.56
    Prev
    -0.55
    é¾įå
    -0.54
    been
    -0.52
    advertisement
    -0.51
    gd
    -0.51
    ortment
    -0.51
    Laughs
    -0.50
    POSITIVE LOGITS
     please
    0.91
     requires
    0.71
    please
    0.65
    ?:
    0.65
     click
    0.65
    ?,
    0.64
    ():
    0.62
     purposes
    0.61
    requires
    0.60
    erning
    0.58
    Activations Density 0.442%

    No Known Activations