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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. 18475
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    Explanations

    phrases related to persistence and continuous improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of consistency or permanence

    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
    ahime
    -0.79
    aye
    -0.73
    alf
    -0.73
     DAC
    -0.72
    rig
    -0.72
    lations
    -0.71
    DF
    -0.71
    dm
    -0.70
    Medic
    -0.70
    GW
    -0.69
    POSITIVE LOGITS
    theless
    0.86
    entimes
    0.85
     dreamed
    0.85
     lurking
    0.84
     strive
    0.78
     fascinated
    0.78
     evolving
    0.77
     overlooked
    0.76
     thereafter
    0.76
     appreciated
    0.76
    Activations Density 0.040%

    No Known Activations