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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. 12-RES-JB
    11. 4215
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    Explanations

    phrases conveying relief or avoidance of a negative outcome

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    conversational phrases expressing incredulity or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.90
     "_
    -0.82
    quickShipAvailable
    -0.79
     "...
    -0.79
    ItemImage
    -0.75
    ¿½
    -0.74
    channelAvailability
    -0.73
    nces
    -0.69
    VERTISEMENT
    -0.69
     "<
    -0.68
    POSITIVE LOGITS
    !'"
    2.01
    ,'"
    1.99
    '."
    1.97
    .'"
    1.95
    ',"
    1.94
    ?'"
    1.92
    '"
    1.56
    ?'
    1.46
    !'
    1.44
    .'
    1.43
    Activations Density 0.347%

    No Known Activations