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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 5146
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    Explanations

    adjectives or verbs related to negation or absence

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "nothing" or the lack of action or results

    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
    essing
    -0.71
    pling
    -0.65
    ippers
    -0.64
     anonymity
    -0.63
    sole
    -0.63
    cise
    -0.63
    rets
    -0.61
    NAS
    -0.60
    own
    -0.59
    igers
    -0.59
    POSITIVE LOGITS
     happens
    1.26
     happened
    1.20
     transpired
    1.10
     goes
    1.04
     occurs
    1.02
     else
    1.00
     flowed
    0.94
     lasts
    0.91
     went
    0.91
     comes
    0.90
    Activations Density 0.103%

    No Known Activations