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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. 1731
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    Explanations

    phrases related to actions and their consequences

    oai_token-act-pair · gpt-3.5-turbo

    actions associated with change or significant events

    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
    >]
    -0.64
     pic
    -0.56
     )]
    -0.56
    chid
    -0.55
     });
    -0.55
    href
    -0.52
    Tip
    -0.51
    ]}
    -0.50
    noon
    -0.50
    tained
    -0.50
    POSITIVE LOGITS
     innumerable
    0.98
     progressively
    0.88
     countless
    0.88
    ometimes
    0.87
     relentlessly
    0.83
     continually
    0.82
     constantly
    0.82
     wisely
    0.82
     accordingly
    0.79
     vastly
    0.79
    Activations Density 1.590%

    No Known Activations