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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. 7-RES-JB
    11. 22970
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    Explanations

    words related to things that are considered challenging or impossible

    oai_token-act-pair · gpt-3.5-turbo

    negative prefixes related to trustworthiness and reliability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.85
    姫
    -0.84
    phrine
    -0.77
     chants
    -0.76
    SHIP
    -0.76
    cium
    -0.72
    hyde
    -0.71
     Pigs
    -0.70
    ŃĶ
    -0.68
     briefs
    -0.68
    POSITIVE LOGITS
    ruly
    1.28
    itled
    1.25
    rave
    1.18
    ested
    1.14
    ainted
    1.07
    ribut
    1.07
    ired
    1.05
    apped
    1.03
    ravel
    1.03
    rained
    1.02
    Activations Density 0.018%

    No Known Activations