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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. 8-RES-JB
    11. 5109
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    Explanations

    phrases related to expressing interest or desire in something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "interested in" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RIP
    -0.74
    aurus
    -0.72
    minus
    -0.69
    ELF
    -0.69
    soever
    -0.68
    DragonMagazine
    -0.66
     ILCS
    -0.66
    uid
    -0.65
    UA
    -0.65
     istg
    -0.65
    POSITIVE LOGITS
     preserving
    1.07
     pursuing
    1.05
     seeing
    0.98
     keeping
    0.98
     exploring
    0.97
     acquiring
    0.96
     helping
    0.96
     maintaining
    0.94
     solving
    0.90
     obtaining
    0.89
    Activations Density 0.079%

    No Known Activations