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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. 0-RES-JB
    11. 12751
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    Explanations

    words related to obvious or intentional actions, often negative and pertaining to issues of deceit, violation, or aggression

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that indicate obvious wrongdoing or hypocrisy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     optim
    -0.72
     sensors
    -0.71
     sequ
    -0.71
    essim
    -0.71
     resp
    -0.70
     stabil
    -0.69
    essen
    -0.69
     ageing
    -0.67
     mould
    -0.66
     Dimensions
    -0.66
    POSITIVE LOGITS
     blatant
    2.87
     blatantly
    2.31
     egregious
    2.20
     brazen
    1.92
     glaring
    1.74
     egreg
    1.60
     shameless
    1.43
     willful
    1.40
     blat
    1.30
     heinous
    1.30
    Activations Density 0.052%

    No Known Activations