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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. 4-RES-JB
    11. 4398
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    Explanations

    phrases related to actions or situations that are likely to happen in the future

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "going to."

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

    No Comments

    Negative Logits
    quickShipAvailable
    -0.79
    Reporting
    -0.70
    amped
    -0.68
    checking
    -0.65
     recalling
    -0.65
     calendars
    -0.61
    tymology
    -0.60
     conceptions
    -0.59
    Reader
    -0.58
     Shooting
    -0.58
    POSITIVE LOGITS
     be
    0.97
     give
    0.96
     make
    0.94
     buy
    0.83
     help
    0.82
     come
    0.81
     earn
    0.80
     replace
    0.80
     get
    0.80
     accomplish
    0.79
    Activations Density 0.083%

    No Known Activations