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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. 8-RES-JB
    11. 11125
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    INDEX
    Explanations

    words related to importance, necessity, and duty

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding obligations and moral considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.68
     sling
    -0.61
     Patron
    -0.61
     Moody
    -0.59
    estyle
    -0.59
     Maver
    -0.58
     nutshell
    -0.58
     LAT
    -0.56
    umbnail
    -0.55
     Lancaster
    -0.55
    POSITIVE LOGITS
     beh
    1.10
    ceivable
    1.06
     imperative
    1.05
     possible
    1.04
     conceivable
    1.04
     impossible
    0.98
     advisable
    0.97
     unclear
    0.96
     permissible
    0.90
     feasible
    0.87
    Activations Density 0.447%

    No Known Activations