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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. 23675
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    Explanations

    phrases related to necessity or urgency

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "need" in various contexts

    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
     Surv
    -0.64
     ank
    -0.63
     Zeit
    -0.56
     brill
    -0.56
     Rice
    -0.55
     Belg
    -0.54
     bean
    -0.54
     Tit
    -0.54
     Guinea
    -0.54
    theless
    -0.53
    POSITIVE LOGITS
    lessly
    1.39
    lest
    1.04
    iest
    1.02
    iness
    0.99
    ful
    0.94
    liest
    0.83
    lessness
    0.83
    fully
    0.82
    INESS
    0.79
    ling
    0.76
    Activations Density 0.038%

    No Known Activations