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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. 18838
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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    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
    aka
    -0.67
    erver
    -0.67
    mans
    -0.67
    inas
    -0.67
    manship
    -0.67
    lish
    -0.65
    iop
    -0.63
    esc
    -0.62
    bug
    -0.62
    minus
    -0.62
    POSITIVE LOGITS
    teness
    0.72
     warr
    0.70
    rison
    0.70
     permission
    0.69
     revenge
    0.65
    ãĤ¦ãĤ¹
    0.62
     something
    0.60
    reprene
    0.59
    ipal
    0.59
     originally
    0.58
    Activations Density 0.064%

    No Known Activations