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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. 6-RES-JB
    11. 792
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    Explanations

    the concept of being prepared or ready to do something or take action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preparedness or readiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.76
    oret
    -0.75
    regate
    -0.70
    uo
    -0.66
    Publisher
    -0.65
    loo
    -0.65
     disproportion
    -0.62
    esse
    -0.60
    ãĥĩ
    -0.60
     flashlight
    -0.60
    POSITIVE LOGITS
    housing
    0.79
    Ready
    0.75
    wired
    0.75
     ready
    0.74
    ÃįÃį
    0.74
     Ready
    0.73
     mentally
    0.73
     Dragonbound
    0.70
    terday
    0.67
    arity
    0.67
    Activations Density 0.023%

    No Known Activations