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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. 11-RES-JB
    11. 13045
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    Explanations

    instances of people and actions related to emotions in a social context

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or collective experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itle
    -0.73
    ixon
    -0.72
    Effective
    -0.66
    actionDate
    -0.66
    quote
    -0.66
     Pwr
    -0.65
    atchewan
    -0.65
    DH
    -0.64
    rongh
    -0.64
    DERR
    -0.63
    POSITIVE LOGITS
     gathered
    1.24
     clustered
    1.23
     cheering
    1.21
     congreg
    1.21
     chanting
    1.19
     scattered
    1.15
     scatter
    1.15
     disembark
    1.13
     screaming
    1.11
     dispersed
    1.09
    Activations Density 0.297%

    No Known Activations