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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. 13720
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    Explanations

    specific locations mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    sentences that begin with a location or context followed by information relevant to that setting

    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
    obin
    -0.74
    iously
    -0.71
    apult
    -0.70
    Ķ
    -0.68
    elta
    -0.68
    è¦ļéĨĴ
    -0.67
    reason
    -0.67
    hash
    -0.65
    rate
    -0.65
    ]);
    -0.65
    POSITIVE LOGITS
     meanwhile
    1.33
     however
    1.00
     where
    0.95
    where
    0.85
     moreover
    0.81
     birthplace
    0.80
     there
    0.66
     dw
    0.64
    upon
    0.60
     though
    0.60
    Activations Density 0.193%

    No Known Activations