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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. 3-RES-JB
    11. 407
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    INDEX
    Explanations

    phrases or words ending in "rel"

    oai_token-act-pair · gpt-3.5-turbo

    words related to relationships or connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -0.87
    plan
    -0.68
    FACE
    -0.66
    ĺħ
    -0.63
    RNA
    -0.63
    BOX
    -0.62
     Takeru
    -0.61
    displayText
    -0.60
    URE
    -0.60
    plin
    -0.59
    POSITIVE LOGITS
    igion
    1.32
    iability
    1.15
    iance
    1.12
    iever
    1.07
    inqu
    1.05
    iable
    1.03
    ief
    0.99
    ieved
    0.97
    iably
    0.95
    ights
    0.95
    Activations Density 0.005%

    No Known Activations