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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. 4-RES-JB
    11. 39
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    Explanations

    phrases where someone is describing a process or series of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the manner or process of actions being described

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

    No Comments

    Negative Logits
    ceptions
    -0.70
    isher
    -0.67
     Tanz
    -0.64
     Mercenary
    -0.62
    ception
    -0.61
    goers
    -0.61
    Args
    -0.60
    odder
    -0.60
    quire
    -0.60
    actor
    -0.58
    POSITIVE LOGITS
    soever
    0.93
    beit
    0.81
    ever
    0.72
    ãĤ¼ãĤ¦ãĤ¹
    0.69
     pervasive
    0.68
     much
    0.68
    ling
    0.67
    ells
    0.67
    HCR
    0.67
     enthusi
    0.66
    Activations Density 0.069%

    No Known Activations