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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. 2252
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    Explanations

    words or phrases expressing disapproval or criticism

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with intention and evaluation

    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
    grain
    -0.84
    amaz
    -0.75
    onga
    -0.69
     Appl
    -0.68
    meric
    -0.68
     Amen
    -0.67
    oval
    -0.66
     EW
    -0.66
    ora
    -0.64
     Alexa
    -0.63
    POSITIVE LOGITS
     mishand
    0.89
     unfocusedRange
    0.87
     greed
    0.86
    nesses
    0.85
     ACTIONS
    0.83
     miser
    0.83
    responsible
    0.81
     dece
    0.77
     greedy
    0.76
    ful
    0.76
    Activations Density 0.193%

    No Known Activations