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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. 9-RES-JB
    11. 2366
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    Explanations

    phrases related to actions involving joining or combining things

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to combining or aggregating elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )}
    -0.76
    rosso
    -0.64
    ]}
    -0.62
     Modes
    -0.60
    osponsors
    -0.60
    aternal
    -0.60
     Retrieved
    -0.59
    ansk
    -0.57
    ANS
    -0.55
     respectively
    -0.55
    POSITIVE LOGITS
    epad
    0.72
    @#&
    0.69
     and
    0.68
     THEN
    0.64
     crappy
    0.62
     sucker
    0.60
     awhile
    0.60
     cheaply
    0.58
    itar
    0.58
     AND
    0.58
    Activations Density 0.776%

    No Known Activations