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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15189
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    Explanations

    phrases related to familiar topics or concepts, especially in the context of equivalences and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate harm or danger to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tarians
    -0.40
    cigarettes
    -0.40
    estern
    -0.36
    DragonMagazine
    -0.36
    unctions
    -0.36
     Canaver
    -0.35
    ¶
    -0.34
    itars
    -0.34
    cedented
    -0.34
     Econom
    -0.33
    POSITIVE LOGITS
     overhead
    0.34
     interchange
    0.33
     nearby
    0.32
    .""
    0.31
     imitation
    0.31
     respectively
    0.31
    }.
    0.30
     glor
    0.30
     unspecified
    0.30
     electro
    0.30
    Activations Density 7.027%

    No Known Activations