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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. 14880
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    Explanations

    phrases related to ethics and moral values

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to fairness and honesty

    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
     implanted
    -0.68
     SIGN
    -0.67
    emer
    -0.65
    escent
    -0.65
     entr
    -0.63
    ze
    -0.62
     Ae
    -0.60
     Meteor
    -0.60
     Alt
    -0.59
     located
    -0.58
    POSITIVE LOGITS
     fairness
    3.97
     honesty
    1.87
     decency
    1.53
     parity
    1.42
     transparency
    1.35
     unfair
    1.34
    fair
    1.33
     faire
    1.30
     competitiveness
    1.30
     impartial
    1.30
    Activations Density 0.010%

    No Known Activations