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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. 8-RES-JB
    11. 6905
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    Explanations

    phrases related to taking action or giving instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to collecting or managing items and the challenges associated with it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outwe
    -0.69
     latter
    -0.60
     Caucas
    -0.60
     diam
    -0.59
     describ
    -0.57
     anecd
    -0.55
     Niet
    -0.54
    ighed
    -0.54
    renheit
    -0.53
     undermin
    -0.52
    POSITIVE LOGITS
     yourselves
    0.76
     yourself
    0.74
     Yourself
    0.74
     âĢº
    0.73
     !
    0.71
     ]
    0.68
     ye
    0.68
     your
    0.66
    ¶
    0.65
     Your
    0.65
    Activations Density 0.690%

    No Known Activations