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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. 1413
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    Explanations

    phrases related to fear or risk

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to risk and potential harm

    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
    •layer 9 - fear

    No Comments

    Negative Logits
    dayName
    -0.79
     elegance
    -0.71
    ourage
    -0.70
    except
    -0.69
     optimism
    -0.68
     eleg
    -0.67
     Collider
    -0.67
     basics
    -0.66
    town
    -0.66
     rationale
    -0.65
    POSITIVE LOGITS
     accidentally
    1.01
     overrun
    1.01
     inadvertently
    0.99
     overhe
    0.98
     contam
    0.98
     unintentionally
    0.96
     spoil
    0.96
     spo
    0.93
     misinterpret
    0.93
     unwittingly
    0.93
    Activations Density 0.314%

    No Known Activations