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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. 7-RES-JB
    11. 3695
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    Explanations

    phrases related to showing lack of interest or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of enthusiasm or unwillingness to act

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     helicop
    -0.81
    omm
    -0.72
     Debor
    -0.71
    onga
    -0.69
    wered
    -0.68
     Airl
    -0.67
    earch
    -0.67
    onda
    -0.66
     raided
    -0.64
    osate
    -0.64
    POSITIVE LOGITS
     resemblance
    1.11
     willingness
    1.06
     similarity
    0.95
     propensity
    0.91
     inclination
    0.91
     remorse
    0.90
     superiority
    0.89
     gratitude
    0.88
     similarities
    0.87
     affinity
    0.87
    Activations Density 0.194%

    No Known Activations