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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. 19678
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    Explanations

    phrases related to bringing something back

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of bringing things back or returning to a previous state

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ���
    -0.78
    terday
    -0.69
    ��
    -0.69
    iom
    -0.67
    externalActionCode
    -0.66
    éĥ
    -0.65
    ombat
    -0.65
    ita
    -0.65
    Eye
    -0.65
    zbollah
    -0.64
    POSITIVE LOGITS
     some
    0.84
     portions
    0.81
     distractions
    0.80
     memories
    0.80
     excess
    0.79
     unwanted
    0.78
     tons
    0.76
     those
    0.76
     hordes
    0.74
     tonnes
    0.73
    Activations Density 0.175%

    No Known Activations