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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. 11-RES-JB
    11. 1235
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    Explanations

    negative sentiments regarding someone not attending an event

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing regret or missed opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ©¶æ¥µ
    -0.79
    ģĸ
    -0.70
    ilibrium
    -0.67
    SourceFile
    -0.66
    utics
    -0.66
    renheit
    -0.65
     Dictionary
    -0.64
     algorith
    -0.64
    senal
    -0.63
     Patent
    -0.63
    POSITIVE LOGITS
     attend
    1.57
     attendance
    1.49
     attending
    1.48
     attendees
    1.40
    Tickets
    1.39
     RS
    1.37
     attended
    1.33
     Attend
    1.31
     booked
    1.24
     tickets
    1.22
    Activations Density 0.686%

    No Known Activations