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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. 8-RES-JB
    11. 16910
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    Explanations

    phrases related to unauthorized access and hacking

    oai_token-act-pair · gpt-3.5-turbo

    actions related to unauthorized access and hacking activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.83
    renheit
    -0.81
    utenberg
    -0.75
    veland
    -0.73
    axis
    -0.72
    rea
    -0.70
    channelAvailability
    -0.70
    hab
    -0.68
    aho
    -0.68
    oner
    -0.66
    POSITIVE LOGITS
     unsuspecting
    1.21
     innocent
    0.78
     unwitting
    0.76
     DNC
    0.73
     RSA
    0.72
     defenses
    0.71
     unprotected
    0.70
     humans
    0.68
     defences
    0.67
     victim
    0.67
    Activations Density 0.428%

    No Known Activations