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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. 1-RES-JB
    11. 7277
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    INDEX
    Explanations

    references to instances or discussions of suspensions

    oai_token-act-pair · gpt-3.5-turbo

    references to suspensions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.89
    rics
    -0.74
    ITNESS
    -0.71
    PT
    -0.70
    ipped
    -0.70
    åĮ
    -0.68
    PRES
    -0.67
    rote
    -0.67
    txt
    -0.67
    gets
    -0.66
    POSITIVE LOGITS
     suspensions
    1.39
     suspension
    1.39
     suspending
    1.07
     suspend
    1.04
     suspended
    1.00
     disbelief
    0.85
    susp
    0.81
     derail
    0.80
     Susp
    0.79
     susp
    0.77
    Activations Density 0.006%

    No Known Activations