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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. 6-RES-JB
    11. 8501
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    Explanations

    keywords related to financial terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to negative experiences or burdensome situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    '."
    -0.61
    )."
    -0.60
     destro
    -0.60
     challeng
    -0.60
     respectively
    -0.59
     proport
    -0.57
     ItemLevel
    -0.56
    ailability
    -0.56
     behavi
    -0.55
    ]."
    -0.55
    POSITIVE LOGITS
    ?:
    0.77
     nutshell
    0.62
    !?
    0.58
    ':
    0.56
    ?!
    0.56
     spoilers
    0.56
    \":
    0.56
    kered
    0.52
     understatement
    0.51
     refres
    0.51
    Activations Density 1.346%

    No Known Activations