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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. 480
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    INDEX
    Explanations

    words related to things that are anticipated or seen beforehand

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fore" in various contexts, particularly in phrases indicating predictions or conclusions

    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
    BuyableInstoreAndOnline
    -0.86
    RED
    -0.82
    REDACTED
    -0.76
    å°Ĩ
    -0.72
     Shed
    -0.68
     Wit
    -0.66
    naires
    -0.65
    IRO
    -0.64
     Stain
    -0.64
     Commonwealth
    -0.61
    POSITIVE LOGITS
    nsics
    1.23
    sight
    1.12
    told
    1.12
    closed
    1.08
    runner
    1.05
    shadow
    1.04
    gone
    1.03
    warning
    1.02
    warn
    1.02
    shore
    1.01
    Activations Density 0.029%

    No Known Activations