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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. 12551
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    INDEX
    Explanations

    phrases related to witnessing events or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to conflict and violence

    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
    ãĤ´ãĥ³
    -0.91
    igmatic
    -0.78
    etheless
    -0.76
    orio
    -0.74
    theless
    -0.72
    20439
    -0.71
    nect
    -0.67
    enser
    -0.66
     Attribution
    -0.66
     Adapt
    -0.66
    POSITIVE LOGITS
     raping
    1.31
     murderers
    1.25
     massac
    1.20
     terrorists
    1.16
     robbers
    1.15
     rapists
    1.14
     bandits
    1.12
     thugs
    1.10
     murdering
    1.08
     massacres
    1.08
    Activations Density 0.580%

    No Known Activations