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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. 20848
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    Explanations

    phrases indicating a change or development in a particular context

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" and its context within phrases

    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
    Champ
    -0.72
    Middle
    -0.67
    Solid
    -0.62
    ]}
    -0.62
    Americ
    -0.62
    cia
    -0.61
    Los
    -0.60
    FTWARE
    -0.60
    20439
    -0.59
    axis
    -0.59
    POSITIVE LOGITS
     fact
    0.85
     essence
    0.83
     effect
    0.74
    versely
    0.68
    escap
    0.68
    ev
    0.66
    ouver
    0.66
     principle
    0.65
    advert
    0.65
     vain
    0.64
    Activations Density 0.146%

    No Known Activations