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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. 6-RES-JB
    11. 13759
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    INDEX
    Explanations

    words related to social media platforms, particularly focusing on LinkedIn

    oai_token-act-pair · gpt-3.5-turbo

    references to LinkedIn and related social networking themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    66666666
    -0.75
    phas
    -0.68
    ãĥĺ
    -0.68
    NEY
    -0.67
    ĸļ
    -0.67
    alam
    -0.66
    iHUD
    -0.66
    wit
    -0.66
    @#&
    -0.65
    urally
    -0.64
    POSITIVE LOGITS
     LinkedIn
    0.91
    LinkedIn
    0.84
     Connect
    0.78
    ®
    0.77
     Hath
    0.76
     Associates
    0.76
     networking
    0.74
     Profile
    0.69
     Networks
    0.69
    Connection
    0.68
    Activations Density 0.017%

    No Known Activations